README.md · tensorblock/openbuddy-qwen2.5llamaify-7b-v23.1-200k-GGUF at main

metadata

language:
  - zh
  - en
  - fr
  - de
  - ja
  - ko
  - it
  - fi
license: apache-2.0
tags:
  - llamaify
  - qwen2.5
  - TensorBlock
  - GGUF
pipeline_tag: text-generation
base_model: OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k
model-index:
  - name: openbuddy-qwen2.5llamaify-7b-v23.1-200k
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: IFEval (0-Shot)
          type: HuggingFaceH4/ifeval
          args:
            num_few_shot: 0
        metrics:
          - type: inst_level_strict_acc and prompt_level_strict_acc
            value: 56.73
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: BBH (3-Shot)
          type: BBH
          args:
            num_few_shot: 3
        metrics:
          - type: acc_norm
            value: 36.4
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MATH Lvl 5 (4-Shot)
          type: hendrycks/competition_math
          args:
            num_few_shot: 4
        metrics:
          - type: exact_match
            value: 11.4
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GPQA (0-shot)
          type: Idavidrein/gpqa
          args:
            num_few_shot: 0
        metrics:
          - type: acc_norm
            value: 8.61
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MuSR (0-shot)
          type: TAUR-Lab/MuSR
          args:
            num_few_shot: 0
        metrics:
          - type: acc_norm
            value: 13.81
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MMLU-PRO (5-shot)
          type: TIGER-Lab/MMLU-Pro
          config: main
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 32.75
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k
          name: Open LLM Leaderboard

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k - GGUF

This repo contains GGUF format model files for OpenBuddy/openbuddy-qwen2.5llamaify-7b-v23.1-200k.

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

Run them on the TensorBlock client using your local machine ↗

Prompt template

<|role|>system<|says|>{system_prompt}<|end|>
<|role|>user<|says|>{prompt}<|end|>
<|role|>assistant<|says|>

Model file specification

Filename	Quant type	File Size	Description
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q2_K.gguf	Q2_K	3.015 GB	smallest, significant quality loss - not recommended for most purposes
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q3_K_S.gguf	Q3_K_S	3.492 GB	very small, high quality loss
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q3_K_M.gguf	Q3_K_M	3.808 GB	very small, high quality loss
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q3_K_L.gguf	Q3_K_L	4.088 GB	small, substantial quality loss
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q4_0.gguf	Q4_0	4.431 GB	legacy; small, very high quality loss - prefer using Q3_K_M
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q4_K_S.gguf	Q4_K_S	4.457 GB	small, greater quality loss
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q4_K_M.gguf	Q4_K_M	4.683 GB	medium, balanced quality - recommended
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q5_0.gguf	Q5_0	5.315 GB	legacy; medium, balanced quality - prefer using Q4_K_M
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q5_K_S.gguf	Q5_K_S	5.315 GB	large, low quality loss - recommended
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q5_K_M.gguf	Q5_K_M	5.444 GB	large, very low quality loss - recommended
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q6_K.gguf	Q6_K	6.254 GB	very large, extremely low quality loss
openbuddy-qwen2.5llamaify-7b-v23.1-200k-Q8_0.gguf	Q8_0	8.098 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/openbuddy-qwen2.5llamaify-7b-v23.1-200k-GGUF --include "openbuddy-qwen2.5llamaify-7b-v23.1-200k-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/openbuddy-qwen2.5llamaify-7b-v23.1-200k-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'