RichardErkhov/NotASI_-_FineTome-Llama3.2-3B-1002-gguf

Quantization made by Richard Erkhov.

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FineTome-Llama3.2-3B-1002 - GGUF

• —Model creator: https://huggingface.co/NotASI/
• —Original model: https://huggingface.co/NotASI/FineTome-Llama3.2-3B-1002/

Original model description: --- language:

• —en license: llama3.2 tags:
• —text-generation-inference
• —transformers
• —unsloth
• —llama
• —llama-3
• —trl
• —sft base_model: unsloth/Llama-3.2-3B-Instruct-bnb-4bit datasets:
• —mlabonne/FineTome-100k model-index:
• —name: FineTome-Llama3.2-3B-1002 results:
• —task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: numfewshot: 0 metrics:
• —type: instlevelstrictacc and promptlevelstrictacc value: 54.74 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=NotASI/FineTome-Llama3.2-3B-1002 name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: numfewshot: 3 metrics:
• —type: accnorm value: 19.52 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllm_leaderboard?query=NotASI/FineTome-Llama3.2-3B-1002 name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competitionmath args: numfew_shot: 4 metrics:
• —type: exactmatch value: 5.29 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllm_leaderboard?query=NotASI/FineTome-Llama3.2-3B-1002 name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: numfewshot: 0 metrics:
• —type: accnorm value: 0.11 name: accnorm source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=NotASI/FineTome-Llama3.2-3B-1002 name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: numfewshot: 0 metrics:
• —type: accnorm value: 3.96 name: accnorm source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=NotASI/FineTome-Llama3.2-3B-1002 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: numfewshot: 5 metrics:
• —type: acc value: 15.96 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=NotASI/FineTome-Llama3.2-3B-1002 name: Open LLM Leaderboard ---

IMPORTANT

In case you got the following error:

exception: data did not match any variant of untagged enum modelwrapper at line 1251003 column 3

Please upgrade your transformer package, that is, use the following code:

pip install --upgrade "transformers>=4.45"

Uploaded model

• —Developed by: NotASI
• —License: apache-2.0
• —Finetuned from model : unsloth/Llama-3.2-3B-Instruct-bnb-4bit

Details

This model was trained on mlabonne/FineTome-100k for 2 epochs with rslora + qlora, and achieve the final training loss: 0.596400.

This model follows the same chat template as the base model one.

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more quants, at much higher speed, than I would otherwise be able to.