Thebloke huggingface. Thanks to the chirper.

Thebloke huggingface py. To download from a specific branch, enter for example TheBloke/Pygmalion-2-13B-GPTQ:main; see Provided Files above for the list I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/phi-2-GGUF phi-2. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Under Download custom model or LoRA, enter TheBloke/OpenBuddy-Llama2-13B-v11. Updated Jan 27 • 30 • 9 TheBloke pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/stablelm-zephyr-3b-GGUF stablelm-zephyr-3b. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Phind-CodeLlama-34B-v2-GGUF phind-codellama-34b-v2. It is the result of downloading CodeLlama 13B from Meta and converting to HF using convert_llama_weights_to_hf. --local-dir-use-symlinks False More advanced huggingface-cli download usage I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/llemma_7b-GGUF llemma_7b. To download from another branch, add :branchname to the end of the download name, eg TheBloke/openchat-3. 2-70B-GGUF dolphin-2. pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/dolphin-2. Model Details To download from the main branch, enter TheBloke/Mistral-7B-v0. To download from a specific branch, enter for example TheBloke/Spring-Dragon-GPTQ:main; see Provided Files above for the list of branches for each option. 0 and later, from any code or client that supports Transformers; Under Download custom model or LoRA, enter TheBloke/notus-7B-v1-AWQ. like 98. pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/NexusRaven-V2-13B-GGUF nexusraven-v2-13b. 7b-v1. To download from a specific branch, enter for example TheBloke/Llama-2-7b-Chat-GPTQ:gptq-4bit-64g-actorder_True; see Provided Files above for the pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/SOLAR-10. . 1-AWQ --port 3000 --quantize awq --max-input-length 3696 --max-total-tokens 4096 --max-batch-prefill-tokens 4096 I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/goliath-120b-GGUF goliath-120b. Q4_K_M. How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/LLaMA2-13B-Tiefighter-GPTQ in the "Download model" box. This is the repository for the 13B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. Learn more about reporting abuse. To download from another branch, add :branchname to the end of the download name, eg TheBloke/LLaMA2-13B-Tiefighter-GPTQ:gptq-4bit-32g-actorder_True. 0 or later. To apply the patch, you will need to copy the llama_rope_scaled_monkey_patch. 1b-chat-v0. This is the repository for the 70B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. About GGUF I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Falcon-180B-GGUF falcon-180b. 9k • 761 How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/Mixtral-8x7B-Instruct-v0. py into your working directory and call the exported function replace_llama_rope_with_scaled_rope at the very start Under Download custom model or LoRA, enter TheBloke/Nous-Hermes-13B-SuperHOT-8K-GPTQ. e. 1. It is the result of merging the LoRA then saving in HF fp16 format. pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Augmental-Unholy-13B-GGUF augmental-unholy-13b. 13B BlueMethod - GPTQ Model creator: Caldera AI Original model: 13B BlueMethod Description This repo contains GPTQ model files for CalderaAI's 13B BlueMethod. cpp. To download from a specific branch, enter for example TheBloke/Llama-2-70B-chat-GPTQ:main; see Provided Files above for the list of branches for each option. OpenAssistant Conversations Dataset (OASST1), a human-generated, human-annotated assistant-style conversation corpus consisting of 161,443 messages distributed across 66,497 conversation trees, in 35 different languages; GPT4All Prompt Generations, a dataset of 400k Model creator: Hugging Face H4; Original model: Zephyr 7B Alpha; Description This repo contains AWQ model files for Hugging Face H4's Zephyr 7B Alpha. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/based-30B-GGUF based-30b. From the command line I recommend using the huggingface-hub Python library: pip3 install huggingface-hub To download from the main branch, enter TheBloke/Mythalion-Kimiko-v2-GPTQ in the "Download model" box. An Some simple scripts that I use day-to-day when working with LLMs and Huggingface Hub For months, theBloke has been diligently quantizing models and making them Now that Mistral AI's Mixtral 8x7b is available in Hugging Face Transformers, you might be Many people have already noticed their inactivity on huggingface, but yesterday I was reading GGUF is a new format introduced by the llama. This is the repository for the 7B fine-tuned model, optimized for dialogue use cases and converted for TheBloke AI's Discord server. Multiple GPTQ parameter permutations are provided; see Provided Files below for details of the options provided, their parameters, and the software used to create them. I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Athena-v4-GGUF athena-v4. LLM: quantisation, fine tuning. text-generation-webui; KoboldCpp How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/zephyr-7B-beta-GPTQ in the "Download model" box. cpp team on August 21st 2023. The remainder of this README is copied from llama-13b-HF. It is suitable for a wide range of language tasks, pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/dolphin-2. Under Download custom model or LoRA, enter TheBloke/Pygmalion-2-13B-GPTQ. 5 Mistral 7B Description This repo contains GGUF format model files for Argilla's CapyBaraHermes 2. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) CapyBaraHermes 2. To download from a specific branch, enter for example TheBloke/tulu-30B-GPTQ:main; see Provided Files above for the list of branches for each option. 1-GPTQ:main; see Provided Files above for the list of branches for each option. Once it's finished it will say "Done" TheBloke AI's Discord server. Note: The above table conducts a comprehensive comparison of our WizardCoder with other models on the HumanEval and MBPP benchmarks. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Llama-2-7b-Chat-GGUF llama-2-7b-chat. ai team! LlamaTokenizer # Hugging Face model_path model_path = 'psmathur/orca_mini_13b' tokenizer = LlamaTokenizer. The size of MPT-30B was also specifically chosen to make it easy to deploy on a single GPU—either 1xA100-80GB in 16-bit pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Wizard-Vicuna-7B-Uncensored-GGUF Wizard-Vicuna-7B-Uncensored. To download from another branch, add :branchname to the end of the download name, eg TheBloke/OpenHermes-2-Mistral-7B-GPTQ:gptq-4bit-32g-actorder_True. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) We’re on a journey to advance and democratize artificial intelligence through open source and open science. 1-GPTQ:gptq-4bit-32g-actorder_True. Recent models: last 100 repos, sorted by creation date. 3. GGUF offers numerous advantages over GGML, such as better tokenisation, and TheBloke's Patreon page WizardLM: An Instruction-following LLM Using Evol-Instruct These I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. --local-dir-use-symlinks False @software{dale2023llongorca13b, title = {LlongOrca13B: Llama2-13B Model Instruct-tuned for Long Context on Filtered OpenOrcaV1 GPT-4 Dataset}, author = {Alpin Dale and Wing Lian and Bleys Goodson and Guan Wang and Eugene Pentland and Austin Cook and Chanvichet Vong and "Teknium"}, year = {2023}, publisher = {HuggingFace}, journal = {HuggingFace Under Download custom model or LoRA, enter TheBloke/Yarn-Mistral-7B-128k-AWQ. Thanks, and how to contribute Thanks to the chirper. ai team! TheBloke's LLM work is generously supported by a grant from andreessen horowitz (a16z) Open BMB's UltraLM 13B fp16 These files are pytorch format fp16 model files for Open BMB's UltraLM 13B . 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Llama-2-13B-chat-GGUF llama-2-13b-chat. Discord For further support, and discussions on these models and AI in general, join us at: TheBloke AI's Discord server. Tim Dettmers' Guanaco 7B fp16 HF These files are fp16 HF model files for Tim Dettmers' Guanaco 7B. From the command line I recommend using the huggingface-hub Python library: pip3 install huggingface-hub This is the original Llama 13B model provided by Facebook/Meta. Should this change, or should Meta provide any feedback on this you can add :branch to the end of the download name, eg Under Download custom model or LoRA, enter TheBloke/Griffin-3B-GPTQ. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/phi-2-GPTQ in the "Download model" box. q4_K_M. We report 7-shot results for CommonSenseQA and 0-shot results for all from huggingface_hub import InferenceClient endpoint_url = "https://your-endpoint-url-here" prompt = "Tell me about AI" prompt_template= f'''Below is an instruction that describes a task. --local-dir-use-symlinks False I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Yi-34B-Chat-GGUF yi-34b-chat. From the command line I recommend using the huggingface-hub Python library: pip3 install huggingface-hub The monkeypatch is only necessary if you are using a front-end/back-end that does not already support scaling and said front-end/back-end is Python-based (i. cpp, or currently with text-generation-webui. 0-GPTQ. To download from another branch, add :branchname to the end of the download name, eg TheBloke/Mythalion-Kimiko-v2 As of September 25th 2023, preliminary Llama-only AWQ support has also been added to Huggingface Text Generation Inference (TGI). py into your working directory and call the exported function replace_llama_rope_with_scaled_rope at the very start I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. Commonsense Reasoning: We report the average of PIQA, SIQA, HellaSwag, WinoGrande, ARC easy and challenge, OpenBookQA, and CommonsenseQA. --local-dir-use-symlinks False TheBloke's LLM work is generously supported by a grant from andreessen horowitz (a16z) Bigcode's Starcoder GPTQ These files are GPTQ 4bit model files for Bigcode's Starcoder . 7-mixtral-8x7b-GGUF dolphin-2. --local-dir-use-symlinks False To download from the main branch, enter TheBloke/Orca-2-13B-GPTQ in the "Download model" box. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Athena-v1-GGUF athena-v1. This model does not have enough activity to be deployed to Inference API (serverless) yet. ai team! LlamaTokenizer # Hugging Face model_path model_path = 'psmathur/orca_mini_3b' tokenizer = LlamaTokenizer. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training. How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/OpenHermes-2-Mistral-7B-GPTQ in the "Download model" box. To download from another branch, add :branchname to the end of the download name, eg TheBloke/deepseek-coder-33B-base-GPTQ:gptq-4bit-128g-actorder_True. Please note that these GGMLs are not compatible with llama. Under Download custom model or LoRA, enter TheBloke/vicuna-13B-v1. 1-GPTQ:gptq-4bit-128g-actorder_True. --local-dir-use-symlinks False How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/deepseek-coder-33B-base-GPTQ in the "Download model" box. --local-dir-use-symlinks False I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. 24 GB: smallest, significant quality loss - not recommended for most purposes Under Download custom model or LoRA, enter TheBloke/Kimiko-13B-GPTQ. 7-mixtral-8x7b. 0. Click Download. StableBeluga2 - GPTQ Model creator: Stability AI Original model: StableBeluga2 Description This repo contains GPTQ model files for Stability AI's StableBeluga2. cpp Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. 5-16K-GPTQ. Huggingface Text Generation Inference (TGI) is not yet compatible with AWQ, but a PR is open which should bring support soon: TGI PR #781. Once it's finished it will say "Done" pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/WhiteRabbitNeo-13B-GGUF whiterabbitneo-13b. A gradio web UI for running Large Language Models like LLaMA, llama. From the To download from the main branch, enter TheBloke/llava-v1. --local-dir-use-symlinks False pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Falcon-180B-Chat-GGUF falcon-180b-chat. 0-GGUF wizardcoder-python-34b-v1. 5-16K-GPTQ:main; see Provided Files above for the list of branches for each option. GGML files are for CPU + GPU inference using llama. --local-dir-use-symlinks False pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/MegaDolphin-120b-GGUF megadolphin Under Download custom model or LoRA, enter TheBloke/Spring-Dragon-GPTQ. Note that, at the time of writing, overall throughput is still lower than running vLLM or TGI with unquantised models, however using AWQ enables using much smaller GPUs which can lead to easier deployment and overall cost savings. To download from a specific branch, enter for example TheBloke/WizardCoder-Python-13B-V1. 0-GGUF solar-10. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Huginn-13B-v4. Note: The reproduced result of StarCoder on MBPP. --local-dir-use-symlinks False More advanced huggingface-cli download usage I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Yi-34B-GGUF yi-34b. Models; Datasets; Spaces; Posts; Docs; Enterprise; Pricing Log In Sign Up lmsys / vicuna-13b-v1. To download from the main branch, enter TheBloke/openchat-3. 5. Thanks, and how to contribute. --local-dir-use-symlinks False Datasets used to train TheBloke/tulu-13B-GGML databricks/databricks-dolly-15k Viewer • Updated Jun 30, 2023 • 15k • 13. 17. Under Download custom model or LoRA, enter TheBloke/Wizard-Vicuna-13B-Uncensored-GPTQ. We adhere to the approach outlined in previous studies by generating 20 samples for each problem to estimate the pass@1 score and evaluate with the same code. 5-13B-GPTQ in the "Download model" box. gguf --local-dir . gguf I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. About AWQ AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. From the command line I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. 2-GPTQ:gptq-4bit-32g-actorder_True; see Provided Files above for the list of branches for each option. Code: We report the average pass@1 scores of our models on HumanEval and MBPP. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/zephyr-7B-beta-GGUF zephyr-7b-beta. Under Download custom model or LoRA, enter TheBloke/Llama-2-70B-chat-GPTQ. cpp and libraries and UIs which support this format, such as:. 74 GB: 7. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/TinyLlama-1. To download from a specific branch, enter for example TheBloke/Wizard-Vicuna-13B-Uncensored-GPTQ:latest; see Provided Files above for the list of branches for each option. Model Details Trained by: Cole Hunter & Ariel Lee; Model type: Platypus2-13B is an auto-regressive language model based on the LLaMA2 MPT models can also be served efficiently with both standard HuggingFace pipelines and NVIDIA's FasterTransformer. --local-dir-use-symlinks False Decoder Layer: Parallel Attention and MLP residuals with a single input LayerNorm (Wang & Komatsuzaki, 2021); Position Embeddings: Rotary Position Embeddings (Su et al. To download from another branch, add :branchname to the end of the download name, eg TheBloke/Mistral-7B-v0. It is suitable for a wide range of language tasks, from generating creative text to understanding and following complex instructions. pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Kunoichi-7B-GGUF kunoichi-7b. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) I contacted Hugging Face for clarification on dual licensing but they do not yet have an official position. To download from a specific branch, enter for example TheBloke/vicuna-13B-v1. Compared to GPTQ, it offers faster Transformers-based inference. 5-1210-GPTQ:gptq-4bit-32g-actorder_True. Thanks to our most esteemed model trainer, Mr TheBloke, we now have versions of Manticore, Nous Hermes (!!), WizardLM and so on, all with SuperHOT 8k context LoRA. --local-dir-use-symlinks False Name Quant method Bits Size Max RAM required Use case; laser-dolphin-mixtral-2x7b-dpo. 5-GGUF huginn-13b-v4. --local-dir-use-symlinks False TheBloke's LLM work is generously supported by a grant from andreessen horowitz (a16z) Nous Hermes Llama 2 13B - GGML Model creator: The model is available for download on Hugging Face. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/WizardCoder-Python-34B-V1. Multi-user inference server: Hugging Face Text Generation Inference (TGI) Use TGI version 1. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/MythoLogic-Mini-7B-GGUF mythologic-mini-7b. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) TheBloke AI's Discord server. I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download Under Download custom model or LoRA, enter TheBloke/Llama-2-7b-Chat-GPTQ. --local-dir-use-symlinks False Under Download custom model or LoRA, enter TheBloke/tulu-30B-GPTQ. To download from a specific branch, enter for example TheBloke/Llama-2-13B-GPTQ:main; see Provided Files above for the list of branches for each option. pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/WizardLM-13B-Uncensored-GGUF WizardLM-13B-Uncensored. I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/vicuna-33B-GGUF vicuna-33b. To download from another branch, add :branchname to the end pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/dolphin-2. Please see below for detailed instructions on reproducing benchmark results. 5-1210-GGUF openchat-3. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. To download from a specific branch, enter for example TheBloke/Kimiko-13B-GPTQ:main; see Provided Files above for the list of branches for each option. --local-dir-use-symlinks False More advanced huggingface-cli download usage Tim Dettmers' Guanaco 13B fp16 HF These files are fp16 HF model files for Tim Dettmers' Guanaco 13B. 5 Mistral 7B - GGUF Model creator: Argilla Original model: CapyBaraHermes 2. 1B-Chat-v0. --local-dir-use-symlinks False We use state-of-the-art Language Model Evaluation Harness to run the benchmark tests above, using the same version as the HuggingFace LLM Leaderboard. If layers are offloaded to the GPU, this will reduce RAM usage and use VRAM instead. Llama2 70b Guanaco QLoRA - fp16 Model creator: Mikael110 Original model: Llama2 70b Guanaco QLoRA Mikael110's Llama2 70b Guanaco QLoRA fp16 These files are pytorch format fp16 model files for Mikael110's Llama2 70b Guanaco QLoRA. To download from another branch, add :branchname to the end of the download name, eg TheBloke/Orca-2-13B-GPTQ:gptq-4bit-32g-actorder_True. If you want HF format, then it can be downloaed from llama-13b-HF. Note: the above RAM figures assume no GPU offloading. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) Bigcode's Starcoder GGML These files are GGML format model files for Bigcode's Starcoder. To download from another branch, add :branchname to the end of the download name, eg TheBloke/Mixtral-8x7B-Instruct-v0. Under Download custom model or LoRA, enter TheBloke/OpenChat_v3. cpp, GPT-J, Pythia, OPT, and GALACTICA. pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Mixtral_7Bx2_MoE-GGUF I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/storytime-13B-GGUF storytime-13b. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Synthia-7B-GGUF synthia-7b. 0-GPTQ:main; see Provided Files above for the list of branches for each option. From the command line Under Download custom model or LoRA, enter TheBloke/Chronoboros-33B-GPTQ. Especially good for story telling. To download from a specific branch, enter for example TheBloke/OpenChat_v3. -- license: other pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Mixtral-8x7B-v0. Should this change, or should Meta provide any feedback on this situation, --model-id TheBloke/Noromaid-20B-v0. Thanks to the chirper. Models; Datasets; Spaces; Posts; Docs; Super-blocks with 16 blocks, each block having 16 weights. How to run in llama. To download from a specific branch, enter for example TheBloke/Llama-2-7B-GPTQ:main; see Provided Files above for the list of branches for each option. To download from another branch, add :branchname to the end of the download name, eg TheBloke/EstopianMaid-13B-GPTQ:gptq-4bit-32g-actorder_True. The model will start downloading. TheBloke AI's Discord server. 1-GGUF kafkalm-70b-german-v0. 5-1210-GPTQ in the "Download model" box. These files were quantised using hardware kindly provided by Massed Compute. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead. It has not been converted to HF format, which is why I have uploaded it. --local-dir-use-symlinks False https://huggingface. Under Download custom model or LoRA, enter TheBloke/Nous-Hermes-13B-GPTQ. 2-GPTQ. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/openchat-3. --local-dir-use-symlinks False WizardLM's WizardLM 7B GGML These files are GGML format model files for WizardLM's WizardLM 7B. 5-mixtral-8x7b. Models; Datasets; Spaces; Posts; Docs; Solutions Pricing Log In Sign Up TheBloke 's Collections. 35. To download from a specific branch, enter for example TheBloke/CodeLlama-7B-GPTQ:main; see Provided Files above for the list of branches for each option. Under Download custom model or LoRA, enter TheBloke/CodeLlama-7B-GPTQ. To download from another branch, add :branchname to the end of the download name, eg TheBloke/llava-v1. 1-GGUF mixtral-8x7b-v0. TheBloke/Goliath-longLORA-120b-rope8-32k-fp16-GGUF. 5-13B-GPTQ:gptq-4bit-32g-actorder_True. It is a replacement for GGML, which is no longer supported by llama. To download from a specific branch, enter for example TheBloke/Chronoboros-33B-GPTQ:main; see Provided Files above for the list of branches for each option. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) # Wizard-Vicuna-13B-Uncensored float16 HF This is a float16 HF repo for Eric Hartford's 'uncensored' training of Wizard-Vicuna 13B. To download from a specific branch, enter for example TheBloke/Griffin-3B-GPTQ:gptq-4bit-32g-actorder_True; see Provided Files above for the list of branches for each option. Hugging Face. from_pretrained(model_path) model = LlamaForCausalLM. --local-dir-use-symlinks False More advanced huggingface-cli download usage Under Download custom model or LoRA, enter TheBloke/Falcon-180B-GPTQ. We’re on a journey to advance and democratize artificial intelligence through open source and open science. pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/neural-chat-7B-v3-1-GGUF neural-chat-7b-v3 I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. gguf - pip3 install huggingface-hub>=0. I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Kimiko-7B-GGUF kimiko-7b. It is the result of converting Eric's float32 repo to float16 for easier storage and use. 1-GPTQ. Links to other models can be found in the index at the bottom. Use and Limitations Hugging Face. 2-70b. To download from a specific branch, enter for example TheBloke/Falcon-180B-GPTQ:gptq-3bit-128g-actorder_True; see Provided Files above for the list of branches for each option. Huggingface Transformers). Once it's finished it will say "Done". 3-GGUF tinyllama-1. The scores CodeLlama 13B fp16 Model creator: Meta Description This is Transformers/HF format fp16 weights for CodeLlama 13B. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/PuddleJumper-13B-GGUF puddlejumper-13b. Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. --local-dir-use-symlinks False pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/NexoNimbus-7B-GGUF nexonimbus-7b. , 2021); Bias: LayerNorm bias terms only; Training StableCode-Instruct-Alpha-3B is the instruction finetuned version on StableCode-Completion-Alpha-3B with code instruction datasets. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Stheno-v2-Delta-GGUF stheno-v2-delta. 5-1210. Once it's finished it will say "Done" The model is available for download on Hugging Face. text-generation-webui The monkeypatch is only necessary if you are using a front-end/back-end that does not already support scaling and said front-end/back-end is Python-based (i. Quantisations will be coming shortly. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/rocket-3B-GGUF rocket-3b. KoboldCpp, a powerful GGML web UI with full GPU acceleration out of the box. From the command line I recommend using the huggingface-hub Python library: pip3 install huggingface-hub I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download Meta's LLaMA 30b GGML These files are GGML format model files for Meta's LLaMA 30b. --local-dir-use-symlinks False More advanced huggingface-cli download usage pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/EstopianMaid-13B-GGUF estopianmaid-13b. 5 Mistral 7B. Please see below for a list of tools known to work with these model files. From the command line I recommend using the huggingface-hub Python library: pip3 install To download from the main branch, enter TheBloke/EstopianMaid-13B-GPTQ in the "Download model" box. from_pretrained Huggingface Text Generation Inference (TGI) is not yet compatible with AWQ, but a PR is open which should bring support soon: TGI PR #781. This is the repository for the 70B pretrained model, converted for the Hugging Face Transformers format. Q2_K. --local-dir-use-symlinks False Under Download custom model or LoRA, enter TheBloke/Llama-2-13B-GPTQ. 1-GPTQ in the "Download model" box. And many of these are 13B models that I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. ai team! Hugging Face Text Generation Inference (TGI) Transformers version 4. From the command I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/LLaMA-7b-GGUF llama-7b. 7B-v1. Other repositories available Overall performance on grouped academic benchmarks. ai team! I contacted Hugging Face for clarification on dual licensing but they do not yet have an official position. From the command Under Download custom model or LoRA, enter TheBloke/Llama-2-7B-GPTQ. Follow. To download from another branch, add :branchname to the end of the download name, eg TheBloke/phi-2-GPTQ:gptq-4bit-32g-actorder_True. --local-dir-use-symlinks False More advanced huggingface-cli download Huggingface Text Generation Inference (TGI) is not yet compatible with AWQ, but a PR is open which should bring support soon: TGI PR #781. Scales are quantized with 8 bits. To download from a specific branch, enter for example TheBloke/OpenBuddy-Llama2-13B-v11. --local-dir-use-symlinks False More advanced huggingface-cli download usage I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. Write a response that appropriately I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. It is the result of merging and/or converting the source repository to float16. Large Model Systems Organization 516. from_pretrained pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/KafkaLM-70B-German-V0. From the command line We’re on a journey to advance and democratize artificial intelligence through open source and open science. OpenAccess AI Collective's Manticore 13B GGML These files are GGML format model files for OpenAccess AI Collective's Manticore 13B. 5-mixtral-8x7b-GGUF dolphin-2. 1 Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/Genz-70b-GGUF genz-70b. In the top left, Under Download custom model or LoRA, enter TheBloke/WizardCoder-Python-13B-V1. To download from another branch, add :branchname to the end of the download name, eg TheBloke/law-LLM-GPTQ:gptq-4-32g-actorder_True. --local-dir-use-symlinks False I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/MonadGPT-GGUF monadgpt. ai team! I've had a lot of people ask if they can contribute. --local-dir-use-symlinks False Training Training Dataset StableVicuna-13B is fine-tuned on a mix of three datasets. gguf: Q2_K: 2: 4. co/TheBloke. Special thanks to @TheBloke for hosting this merged I recommend using the huggingface-hub Python library: pip3 install huggingface-hub Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/sqlcoder-GGUF sqlcoder. --local-dir-use-symlinks False How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/law-LLM-GPTQ in the "Download model" box. gdhwmo dldfs vumysu whycqzst bzvbcw apqrjjw hkr vbgtf jhxslan nbwopk