sequelbox_-_Llama3.1-8B-PlumMath-gguf

Quantization made by Richard Erkhov.

Github

Discord

Request more models

Llama3.1-8B-PlumMath - GGUF

• Model creator: https://huggingface.co/sequelbox/
• Original model: https://huggingface.co/sequelbox/Llama3.1-8B-PlumMath/

Original model description:

language:

• en license: llama3.1 library_name: transformers tags:
• mergekit
• merge
• shining-valiant
• shining-valiant-2
• cobalt
• plum
• valiant
• valiant-labs
• llama
• llama-3.1
• llama-3.1-instruct
• llama-3.1-instruct-8b
• llama-3
• llama-3-instruct
• llama-3-instruct-8b
• 8b
• math
• math-instruct
• science
• physics
• biology
• chemistry
• compsci
• computer-science
• engineering
• technical
• conversational
• chat
• instruct base_model:
• meta-llama/Llama-3.1-8B-Instruct
• ValiantLabs/Llama3.1-8B-ShiningValiant2
• ValiantLabs/Llama3.1-8B-Cobalt pipeline_tag: text-generation model_type: llama model-index:
• name: sequelbox/Llama3.1-8B-PlumMath results:
  • task: type: text-generation name: Text Generation dataset: name: Winogrande (5-Shot) type: Winogrande args: num_few_shot: 5 metrics:
    • type: acc value: 72.38 name: acc
  • task: type: text-generation name: Text Generation dataset: name: MathQA (5-Shot) type: MathQA args: num_few_shot: 5 metrics:
    • type: acc value: 40.27 name: acc
  • 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: 22.42 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath 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: 16.45 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath 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: 3.93 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath 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: 9.06 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath 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: 8.98 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath 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: 21.95 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumMath name: Open LLM Leaderboard

---

PlumMath

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

Merge Details

Merge Method

This model was merged using the della merge method using meta-llama/Llama-3.1-8B-Instruct as a base.

Models Merged

The following models were included in the merge:

• ValiantLabs/Llama3.1-8B-ShiningValiant2
• ValiantLabs/Llama3.1-8B-Cobalt

Configuration

The following YAML configuration was used to produce this model:

merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Llama3.1-8B-ShiningValiant2
    parameters:
      density: 0.5
      weight: 0.3
  - model: ValiantLabs/Llama3.1-8B-Cobalt
    parameters:
      density: 0.5
      weight: 0.2
base_model: meta-llama/Llama-3.1-8B-Instruct

Open LLM Leaderboard Evaluation Results

Detailed results can be found here