README.md

metadata

library_name: transformers
license: apache-2.0
base_model: legmlai/legml-v1.0-8b-instruct
tags:
  - llama-factory
  - full
  - generated_from_trainer
  - TensorBlock
  - GGUF
datasets:
  - legmlai/finefrench-v1
  - legmlai/openhermes-fr
language:
  - fr
model-index:
  - name: legml-v1.0-instruct
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: gpqa-fr
          type: ai2_arc
          config: le-leadboard/gpqa-fr
          split: test
          args:
            num_few_shot: 25
        metrics:
          - type: acc
            value: 14.56
            name: accuracy
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: IFEval-fr
          type: le-leadboard/IFEval-fr
          split: validation
          args:
            num_few_shot: 10
        metrics:
          - type: acc
            value: 13.55
            name: accuracy
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MMMLU-fr
          type: le-leadboard/MMMLU-fr
          config: all
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 64.57
            name: accuracy
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: bbh-fr
          type: le-leadboard/bbh-fr
          config: multiple_choice
          split: validation
          args:
            num_few_shot: 0
        metrics:
          - type: acc
            value: 38.71
            name: accuracy
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: musr-fr
          type: le-leadboard/musr-fr
          config: le-leadboard/musr-fr
          split: validation
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 4.41
            name: accuracy
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MATH_LVL5_fr
          type: le-leadboard/MATH_LVL5_fr
          config: le-leadboard/MATH_LVL5_fr
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 34.44
            name: accuracy

legmlai/legml-v1.0-8b-instruct - GGUF

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This repo contains GGUF format model files for legmlai/legml-v1.0-8b-instruct.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5753.

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Prompt template

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Model file specification

Filename	Quant type	File Size	Description
legml-v1.0-8b-instruct-Q2_K.gguf	Q2_K	3.282 GB	smallest, significant quality loss - not recommended for most purposes
legml-v1.0-8b-instruct-Q3_K_S.gguf	Q3_K_S	3.770 GB	very small, high quality loss
legml-v1.0-8b-instruct-Q3_K_M.gguf	Q3_K_M	4.124 GB	very small, high quality loss
legml-v1.0-8b-instruct-Q3_K_L.gguf	Q3_K_L	4.431 GB	small, substantial quality loss
legml-v1.0-8b-instruct-Q4_0.gguf	Q4_0	4.775 GB	legacy; small, very high quality loss - prefer using Q3_K_M
legml-v1.0-8b-instruct-Q4_K_S.gguf	Q4_K_S	4.802 GB	small, greater quality loss
legml-v1.0-8b-instruct-Q4_K_M.gguf	Q4_K_M	5.028 GB	medium, balanced quality - recommended
legml-v1.0-8b-instruct-Q5_0.gguf	Q5_0	5.721 GB	legacy; medium, balanced quality - prefer using Q4_K_M
legml-v1.0-8b-instruct-Q5_K_S.gguf	Q5_K_S	5.721 GB	large, low quality loss - recommended
legml-v1.0-8b-instruct-Q5_K_M.gguf	Q5_K_M	5.851 GB	large, very low quality loss - recommended
legml-v1.0-8b-instruct-Q6_K.gguf	Q6_K	6.726 GB	very large, extremely low quality loss
legml-v1.0-8b-instruct-Q8_0.gguf	Q8_0	8.710 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/legmlai_legml-v1.0-8b-instruct-GGUF --include "legml-v1.0-8b-instruct-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/legmlai_legml-v1.0-8b-instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'