PJMixers-Dev_-_LLaMa-3.2-Instruct-JankMixBread-v0.1-3B-gguf

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LLaMa-3.2-Instruct-JankMixBread-v0.1-3B - GGUF

• Model creator: https://huggingface.co/PJMixers-Dev/
• Original model: https://huggingface.co/PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B/

Original model description:

license: llama3.2 library_name: transformers tags:

• mergekit
• merge base_model:
• meta-llama/Llama-3.2-3B
• meta-llama/Llama-3.2-3B-Instruct
• PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B model-index:
• name: LLaMa-3.2-Instruct-JankMixBread-v0.1-3B 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: 50.41 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B 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: 22.76 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B 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: 10.73 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B 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: 4.36 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B 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: 4.68 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B 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: 23.15 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B name: Open LLM Leaderboard

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LLaMa-3.2-Instruct-JankMixBread-v0.1-3B

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the breadcrumbs_ties merge method using meta-llama/Llama-3.2-3B as a base.

Models Merged

The following models were included in the merge:

• meta-llama/Llama-3.2-3B-Instruct
• PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B

Configuration

The following YAML configuration was used to produce this model:

merge_method: breadcrumbs_ties
base_model: meta-llama/Llama-3.2-3B
tokenizer_source: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01

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.