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openchat-3.5-1210-GGUF

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mistral
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metadata
license: apache-2.0
base_model: openchat/openchat-3.5-1210
tags:
  - openchat
  - mistral
  - C-RLFT
  - TensorBlock
  - GGUF
datasets:
  - openchat/openchat_sharegpt4_dataset
  - kaist-ai/Feedback-Collection
  - imone/OpenOrca_FLAN
  - LDJnr/Capybara
  - tiedong/goat
  - glaiveai/glaive-code-assistant
  - meta-math/MetaMathQA
  - OpenAssistant/oasst_top1_2023-08-25
  - TIGER-Lab/MathInstruct
library_name: transformers
pipeline_tag: text-generation
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openchat/openchat-3.5-1210 - GGUF

This repo contains GGUF format model files for openchat/openchat-3.5-1210.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

Prompt template 

<s>GPT4 Correct System: {system_prompt}<|end_of_turn|>GPT4 Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant:

Model file specification

Filename Quant type File Size Description
openchat-3.5-1210-Q2_K.gguf Q2_K 2.533 GB smallest, significant quality loss - not recommended for most purposes
openchat-3.5-1210-Q3_K_S.gguf Q3_K_S 2.947 GB very small, high quality loss
openchat-3.5-1210-Q3_K_M.gguf Q3_K_M 3.277 GB very small, high quality loss
openchat-3.5-1210-Q3_K_L.gguf Q3_K_L 3.560 GB small, substantial quality loss
openchat-3.5-1210-Q4_0.gguf Q4_0 3.827 GB legacy; small, very high quality loss - prefer using Q3_K_M
openchat-3.5-1210-Q4_K_S.gguf Q4_K_S 3.856 GB small, greater quality loss
openchat-3.5-1210-Q4_K_M.gguf Q4_K_M 4.068 GB medium, balanced quality - recommended
openchat-3.5-1210-Q5_0.gguf Q5_0 4.654 GB legacy; medium, balanced quality - prefer using Q4_K_M
openchat-3.5-1210-Q5_K_S.gguf Q5_K_S 4.654 GB large, low quality loss - recommended
openchat-3.5-1210-Q5_K_M.gguf Q5_K_M 4.779 GB large, very low quality loss - recommended
openchat-3.5-1210-Q6_K.gguf Q6_K 5.534 GB very large, extremely low quality loss
openchat-3.5-1210-Q8_0.gguf Q8_0 7.167 GB very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/openchat-3.5-1210-GGUF --include "openchat-3.5-1210-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/openchat-3.5-1210-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'