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calme-2.1-phi3.5-4b-GGUF

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calme-2.1-phi3.5-4b-GGUF / README.md
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metadata
language:
  - en
license: mit
library_name: transformers
tags:
  - chat
  - phi
  - phi3
  - phi3.5
  - finetune
  - TensorBlock
  - GGUF
base_model: MaziyarPanahi/calme-2.1-phi3.5-4b
datasets:
  - MaziyarPanahi/truthy-dpo-v0.1-axolotl
pipeline_tag: text-generation
inference: false
model_creator: MaziyarPanahi
quantized_by: MaziyarPanahi
model-index:
  - name: calme-2.1-phi3.5-4b
    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: 56.59
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-phi3.5-4b
          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: 36.11
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-phi3.5-4b
          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: 14.43
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-phi3.5-4b
          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: 12.53
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-phi3.5-4b
          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: 9.77
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-phi3.5-4b
          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: 32.61
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-phi3.5-4b
          name: Open LLM Leaderboard
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MaziyarPanahi/calme-2.1-phi3.5-4b - GGUF

This repo contains GGUF format model files for MaziyarPanahi/calme-2.1-phi3.5-4b.

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

Prompt template 

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

Model file specification

Filename Quant type File Size Description
calme-2.1-phi3.5-4b-Q2_K.gguf Q2_K 1.416 GB smallest, significant quality loss - not recommended for most purposes
calme-2.1-phi3.5-4b-Q3_K_S.gguf Q3_K_S 1.682 GB very small, high quality loss
calme-2.1-phi3.5-4b-Q3_K_M.gguf Q3_K_M 1.955 GB very small, high quality loss
calme-2.1-phi3.5-4b-Q3_K_L.gguf Q3_K_L 2.088 GB small, substantial quality loss
calme-2.1-phi3.5-4b-Q4_0.gguf Q4_0 2.176 GB legacy; small, very high quality loss - prefer using Q3_K_M
calme-2.1-phi3.5-4b-Q4_K_S.gguf Q4_K_S 2.189 GB small, greater quality loss
calme-2.1-phi3.5-4b-Q4_K_M.gguf Q4_K_M 2.393 GB medium, balanced quality - recommended
calme-2.1-phi3.5-4b-Q5_0.gguf Q5_0 2.641 GB legacy; medium, balanced quality - prefer using Q4_K_M
calme-2.1-phi3.5-4b-Q5_K_S.gguf Q5_K_S 2.641 GB large, low quality loss - recommended
calme-2.1-phi3.5-4b-Q5_K_M.gguf Q5_K_M 2.815 GB large, very low quality loss - recommended
calme-2.1-phi3.5-4b-Q6_K.gguf Q6_K 3.136 GB very large, extremely low quality loss
calme-2.1-phi3.5-4b-Q8_0.gguf Q8_0 4.061 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/calme-2.1-phi3.5-4b-GGUF --include "calme-2.1-phi3.5-4b-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/calme-2.1-phi3.5-4b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'