Thebloke huggingface. Once it's finished it will say "Done".

Thebloke huggingface Once it's finished it will say "Done" 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. 0-GGUF solar-10. Models; Datasets; Spaces; Posts; Docs; Enterprise; Pricing Log In Sign Up lmsys / vicuna-13b-v1. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead. Quantisations will be coming shortly. Hugging Face. 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. $ 0. 74 GB: 7. 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. 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 Tim Dettmers' Guanaco 7B fp16 HF These files are fp16 HF model files for Tim Dettmers' Guanaco 7B. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) This is the original Llama 13B model provided by Facebook/Meta. --local-dir-use-symlinks False. About GGUF 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. Downloads last month 2,483 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-v3-1. The remainder of this README is copied from llama-13b-HF. cpp, GPT-J, Pythia, OPT, and GALACTICA. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) Huggingface Text Generation Inference (TGI) is not yet compatible with AWQ, but a PR is open which should bring support soon: TGI PR #781. Thanks to our most esteemed model trainer, Mr TheBloke, we now have versions of Manticore, Nous Hermes (!!), WizardLM and so on, all with SuperHOT For months, theBloke has been diligently quantizing models and making them available on HuggingFace. Under Download custom model or LoRA, enter TheBloke/Llama-2-70B-chat-GPTQ. OpenAssistant Conversations Dataset (OASST1), a human-generated, human-annotated assistant-style conversation corpus consisting of 161,443 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/Mistral-7B-Claude-Chat-GGUF mistral-7b-claude 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 . An https://huggingface. GGUF offers numerous advantages over GGML, such as better tokenisation, and Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. GGUF is a new format introduced by the llama. If you want HF format, then it can be downloaed from llama-13b-HF. Should this change, or should Meta provide any feedback on this situation, I will update this section accordingly. 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/CodeLlama-34B-GGUF codellama-34b. 9k • 761 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. 1b-chat-v0. 5 Mistral 7B - GGUF Model creator: Argilla Original model: CapyBaraHermes 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/Open_Gpt4_8x7B-GGUF open_gpt4_8x7b. These files were quantised using hardware kindly provided by Massed Compute. 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. Q2_K. --local-dir-use-symlinks False Datasets used to train TheBloke/tulu-13B-GGML databricks/databricks-dolly-15k Viewer • Updated Jun 30, 2023 • 15k • 13. 0-mistral-7B-GGUF dolphin-2. --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. 8 / hour. py. cpp and libraries and UIs which support this format, such as:. In the process, a thriving ecosystem has emerged from which the GGUF is a new format introduced by the llama. 7b-v1. 3, but Under Download custom model or LoRA, enter TheBloke/orca_mini_13B-GPTQ. --local-dir-use-symlinks False MPT models can also be served efficiently with both standard HuggingFace pipelines and NVIDIA's FasterTransformer. Compared to GPTQ, it offers faster Transformers-based inference. To download from another branch, add :branchname to the end of the download name, eg TheBloke/law-LLM-GPTQ:gptq-4-32g-actorder_True. Text-to ERROR: pip’s dependency resolver does not currently take into account all the packages that are installed. 7. --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 . gguf - 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. 1. It is suitable for a wide range of language tasks, from generating creative text to understanding and following complex instructions. you can add :branch to the end of the download name, eg TheBloke/MythoMax-L2-13B-GPTQ:main; With Git, you can clone a Under Download custom model or LoRA, enter TheBloke/Griffin-3B-GPTQ. 1-GPTQ in the "Download model" box. I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. 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/Mixtral-8x7B-Instruct-v0. 5-16K-GPTQ:main; see Provided Files above for the list of branches for each option. To download from a specific branch, enter for example TheBloke/WizardCoder-Python-13B-V1. 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/Pygmalion-2-13B-GGUF pygmalion-2-13b. 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. 1-GGUF mixtral-8x7b-v0. from_pretrained(model_path) Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. From the command line I recommend using the huggingface-hub Python library: pip3 install huggingface-hub I contacted Hugging Face for clarification on dual licensing but they do not yet have an official position. The model will start downloading. 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. 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 How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/Mixtral-8x7B-Instruct-v0. 3. 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). Sorted by creation date descending, so the most recently created repos appear at the top. To download from another branch, add :branchname to the end of the download name, eg TheBloke/Mistral-7B-v0. like 98. TheBloke's LLM work is generously supported by a grant from andreessen horowitz (a16z) This repo contains GGUF format model files for Microsoft's Phi 2. 5-13B-GPTQ in the "Download model" box. 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 list of branches for each option. TGI . A gradio web UI for running Large Language Models like LLaMA, llama. 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. 5-Mistral-7B-GPTQ. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) 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. Scales are quantized with 8 bits. Under Download custom model or LoRA, enter TheBloke/Falcon-180B-GPTQ. --local-dir-use-symlinks False I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. --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. Models; Datasets; Spaces; Posts; Docs; Enterprise; Pricing Super-blocks with 16 blocks, each block having 16 weights. --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. Thanks, and how to contribute. 0-mistral-7b. 24 GB: smallest, significant quality loss - not recommended for most purposes Under Download custom model or LoRA, enter TheBloke/Kimiko-13B-GPTQ. --local-dir-use-symlinks False Hugging Face Text Generation Inference (TGI) Transformers version 4. To download from another branch, add :branchname to the end of the download name, eg TheBloke/llava-v1. q4_K_M. cpp team on August 21st 2023. 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. Multi-user inference server: Hugging Face Text Generation Inference (TGI) Use TGI version 1. GPU 1x Nvidia L4. 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 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. The scores Under Download custom model or LoRA, enter TheBloke/Pygmalion-2-13B-GPTQ. -- 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/SOLAR-10. 5 Mistral 7B. gguf CapyBaraHermes 2. We’re on a journey to advance and democratize artificial intelligence through open source and open science. from_pretrained Discussions, Pull Requests and comments from Tom Jobbins on Hugging Face 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. --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) Under Download custom model or LoRA, enter TheBloke/Wizard-Vicuna-13B-Uncensored-GPTQ. To download from a specific branch, enter for example TheBloke/Wizard-Vicuna-13B-Uncensored-GPTQ:latest; see Under Download custom model or LoRA, enter TheBloke/Nous-Hermes-13B-GPTQ. Name Quant method Bits Size Max RAM required Use case; laser-dolphin-mixtral-2x7b-dpo. 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. 0-GPTQ. 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 TheBloke/Falcon-180B-GGUF falcon-180b. 35. This behaviour is the source of the following dependency conflicts. Under Download custom model or LoRA, enter TheBloke/Llama-2-13B-GPTQ. Once it's finished it will say "Done". Please see below for a list of tools known to work with these model files. --local-dir-use-symlinks False More advanced huggingface-cli download usage I recommend using the huggingface-hub Python library: pip3 install huggingface-hub>=0. Discord For further support, and discussions on these models and AI in general, join us at: Training Training Dataset StableVicuna-13B is fine-tuned on a mix of three datasets. 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. It is the result of merging the LoRA then saving in HF fp16 format. It has not been converted to HF format, which is why I have uploaded it. About AWQ AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. --local-dir-use-symlinks False Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. 5-1210. distributed 2022. 0 or later. 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. GGML files are for CPU + GPU inference using llama. Special thanks to @TheBloke for hosting this merged version of weights earlier. It is a replacement for GGML, which is no longer supported by llama. It is the result of converting Eric's float32 repo to float16 for easier storage and use. 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. cpp, or currently with text-generation-webui. text-generation-webui Huggingface Text Generation Inference (TGI) is not yet compatible with AWQ, but a PR is open which should bring support soon: TGI PR #781. . Note: The reproduced result of StarCoder on MBPP. OpenAccess AI Collective's Manticore 13B GGML These files are GGML format model files for OpenAccess AI Collective's Manticore 13B. Accelerated Text Generation Inference. 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. co/TheBloke. I am Tom, purveyor of fine local LLMs for your fun and profit. 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. Learn more about reporting abuse. 7B-v1. 0 and later, from any code or client that supports Transformers; Under Download custom model or LoRA, enter TheBloke/notus-7B-v1-AWQ. 0 requires tornado<6. Text Generation. In the top left, Multi-user inference server: Hugging Face Text Generation Inference (TGI) Use TGI version 1. 7-mixtral 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. It is the result of downloading CodeLlama 13B from Meta and converting to HF using convert_llama_weights_to_hf. gguf --local-dir . Q4_K_M. Thanks to the chirper. From the command line 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) 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. 1B-Chat-v0. Model Details Trained by: Cole Hunter & Ariel Lee; Model type: Platypus2-13B is an auto-regressive language model based on the LLaMA2 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 More advanced huggingface-cli download 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. To download from another branch, add :branchname to the end of the download name, eg TheBloke/Mixtral-8x7B-Instruct-v0. --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/dolphin-2. This is the repository for the 7B pretrained model, converted for the Hugging Face Transformers TheBloke / OpenHermes-2. gguf: Q2_K: 2: 4. This is the repository for the 70B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers 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/Mixtral-8x7B-v0. LLM: quantisation, fine tuning. --local-dir-use-symlinks False Under Download custom model or LoRA, enter TheBloke/zephyr-7B-beta-AWQ. 5-mixtral-8x7b. Note: The above table conducts a comprehensive comparison of our WizardCoder with other models on the HumanEval and MBPP benchmarks. 2,>=6. 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. --local-dir-use-symlinks False More advanced huggingface-cli download usage The last 100 repos I have created. Large Model Systems Organization 516. --local-dir-use-symlinks False We’re on a journey to advance and democratize artificial intelligence through open source and open science. 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. In the top left, Under Download custom model or LoRA, enter TheBloke/Yarn-Mistral-7B-128k-AWQ. Once it's finished it will say "Done" The model is available for download on Hugging Face. - TheBloke Under Download custom model or LoRA, enter TheBloke/vicuna-13B-v1. Links to other models can be found in the index at the bottom. 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. This is the repository for the 70B pretrained model, converted for the Hugging Face Transformers format. prompthero / openjourney. cpp. ai team! LlamaTokenizer # Hugging Face model_path model_path = 'psmathur/orca_mini_3b' tokenizer = LlamaTokenizer. 1-GGUF kafkalm-70b-german-v0. It is suitable for a wide range of language tasks, from generating creative text to understanding and following complex Under Download custom model or LoRA, enter TheBloke/Llama-2-7b-Chat-GPTQ. 0-GPTQ:main; see Provided Files above for the list of branches for each option. From the To download from the main branch, enter TheBloke/llava-v1. 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. 5-16K-GPTQ. Once it's finished it will say "Done" In the top left, LlamaTokenizer # Hugging Face model_path model_path = 'psmathur/orca_mini_13b' tokenizer = LlamaTokenizer. Model Details # Wizard-Vicuna-13B-Uncensored float16 HF This is a float16 HF repo for Eric Hartford's 'uncensored' training of Wizard-Vicuna 13B. Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. To download from a specific branch, enter for example TheBloke/vicuna-13B-v1. Please see below for detailed instructions on reproducing benchmark results. 5-13B-GPTQ:gptq-4bit-32g-actorder_True. 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/Synthia-7B-GGUF synthia-7b. This model does not have enough activity to be deployed to Inference API (serverless) yet. 7-mixtral-8x7b-GGUF dolphin-2. 0. To download from a specific branch, enter for example TheBloke/Pygmalion-2-13B-GPTQ:main; see Provided Files above for the list CodeLlama 13B fp16 Model creator: Meta Description This is Transformers/HF format fp16 weights for CodeLlama 13B. Click Download. from_pretrained(model_path) model = LlamaForCausalLM. 5-1210-GGUF openchat-3. Please note that these GGMLs are not compatible with llama. Follow. 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. 1-GPTQ:gptq-4bit-32g-actorder_True. From the command line To download from the main branch, enter TheBloke/Mistral-7B-v0. To download from another branch, add :branchname to the end of the download name, eg TheBloke/phi-2-GPTQ:gptq-4bit-32g-actorder_True. 17. Discord For further support, and discussions on these models and AI in general, join us at: 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. 3-GGUF tinyllama-1. --local-dir-use-symlinks False More advanced huggingface-cli download usage 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. 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 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. 1-GGUF mixtral-8x7b-instruct-v0. Other repositories available Under Download custom model or LoRA, enter TheBloke/WizardCoder-Python-13B-V1. 5 Mistral 7B Description This repo contains GGUF format model files for Argilla's CapyBaraHermes 2. 1-GPTQ:gptq-4bit-128g-actorder_True. gguf TheBloke AI's Discord server. This is the repository for the 7B fine-tuned model, optimized for dialogue use cases and converted for Under Download custom model or LoRA, enter TheBloke/CodeLlama-7B-GPTQ. tpctc hknduy jsv mxrgrbj jduaz vym vaxs gglwm fzgabh xzrys