Youlln_-_ECE-PRYMMAL-0.5B-FT-V3-exl2

Quantization made by Richard Erkhov.

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ECE-PRYMMAL-0.5B-FT-V3 - EXL2

• Model creator: https://huggingface.co/Youlln/
• Original model: https://huggingface.co/Youlln/ECE-PRYMMAL-0.5B-FT-V3/

Available sizes

| Branch | Bits | Description | | ----- | ---- | ------- | ------ | ------ | ------ | ------ | ------------ | | 8_0 | 8.0 | Maximum quality that ExLlamaV2 can produce, near unquantized performance. | | 6_5 | 6.5 | Very similar to 8.0, good tradeoff of size vs performance, recommended. | | 5_0 | 5.0 | Slightly lower quality vs 6.5, but usable on 8GB cards. | | 4_25 | 4.25 | GPTQ equivalent bits per weight, slightly higher quality. | | 3_5 | 3.5 | Lower quality, only use if you have to. |

Download instructions

With git:

git clone --single-branch --branch 6_5 https://huggingface.co/Youlln_-_ECE-PRYMMAL-0.5B-FT-V3-exl2 ECE-PRYMMAL-0.5B-FT-V3-6_5

With huggingface hub:

pip3 install huggingface-hub

To download a specific branch, use the --revision parameter. For example, to download the 6.5 bpw branch: Linux:

huggingface-cli download Youlln_-_ECE-PRYMMAL-0.5B-FT-V3-exl2 --revision 6_5 --local-dir ECE-PRYMMAL-0.5B-FT-V3-6_5 --local-dir-use-symlinks False

Windows (which apparently doesn't like _ in folders sometimes?):

huggingface-cli download Youlln_-_ECE-PRYMMAL-0.5B-FT-V3-exl2 --revision 6_5 --local-dir ECE-PRYMMAL-0.5B-FT-V3-6.5 --local-dir-use-symlinks False

Original model description:

license: apache-2.0 library_name: transformers base_model:

• Youlln/ECE.EIFFEIL.ia-0.5B-SLERP datasets:
• allenai/ai2_arc model-index:
• name: ECE-PRYMMAL-0.5B-FT-V3 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: 16.42 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-PRYMMAL-0.5B-FT-V3 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: 3.62 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-PRYMMAL-0.5B-FT-V3 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: 0.0 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-PRYMMAL-0.5B-FT-V3 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: 1.01 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-PRYMMAL-0.5B-FT-V3 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: 3.22 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-PRYMMAL-0.5B-FT-V3 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: 1.79 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-PRYMMAL-0.5B-FT-V3 name: Open LLM Leaderboard

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