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RichardErkhov/
cpayne1303_-_cp2024-instruct-gguf

Name: cpayne1303_-_cp2024-instruct-gguf
Availability: InStock

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cp2024-instruct - GGUF

Model creator: https://huggingface.co/cpayne1303/
Original model: https://huggingface.co/cpayne1303/cp2024-instruct/

Name	Quant method	Size
cp2024-instruct.Q2_K.gguf	Q2_K	0.02GB
cp2024-instruct.IQ3_XS.gguf	IQ3_XS	0.02GB
cp2024-instruct.IQ3_S.gguf	IQ3_S	0.02GB
cp2024-instruct.Q3_K_S.gguf	Q3_K_S	0.02GB
cp2024-instruct.IQ3_M.gguf	IQ3_M	0.02GB
cp2024-instruct.Q3_K.gguf	Q3_K	0.02GB
cp2024-instruct.Q3_K_M.gguf	Q3_K_M	0.02GB
cp2024-instruct.Q3_K_L.gguf	Q3_K_L	0.02GB
cp2024-instruct.IQ4_XS.gguf	IQ4_XS	0.02GB
cp2024-instruct.Q4_0.gguf	Q4_0	0.02GB
cp2024-instruct.IQ4_NL.gguf	IQ4_NL	0.02GB
cp2024-instruct.Q4_K_S.gguf	Q4_K_S	0.02GB
cp2024-instruct.Q4_K.gguf	Q4_K	0.03GB
cp2024-instruct.Q4_K_M.gguf	Q4_K_M	0.03GB
cp2024-instruct.Q4_1.gguf	Q4_1	0.02GB
cp2024-instruct.Q5_0.gguf	Q5_0	0.02GB
cp2024-instruct.Q5_K_S.gguf	Q5_K_S	0.03GB
cp2024-instruct.Q5_K.gguf	Q5_K	0.03GB
cp2024-instruct.Q5_K_M.gguf	Q5_K_M	0.03GB
cp2024-instruct.Q5_1.gguf	Q5_1	0.03GB
cp2024-instruct.Q6_K.gguf	Q6_K	0.03GB
cp2024-instruct.Q8_0.gguf	Q8_0	0.03GB

Original model description:

language:

en license: apache-2.0 library_name: transformers base_model: cpayne1303/cp2024 datasets:
teknium/OpenHermes-2.5 model-index:
name: cp2024-instruct 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: 17.06 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cpayne1303/cp2024-instruct 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: 2.48 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cpayne1303/cp2024-instruct 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=cpayne1303/cp2024-instruct 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: 1.34 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cpayne1303/cp2024-instruct 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: 3.18 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cpayne1303/cp2024-instruct 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: 1.85 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cpayne1303/cp2024-instruct name: Open LLM Leaderboard

Model Description

This is a model using the llama2 architecture and only 30 million parameters. It is based off of this model and was finetuned on approximately 85 million tokens of instruct data from the first 20000 rows of the openhermes 2.5 dataset with a low learning rate of 2e-6 and context length of 512.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	4.32
IFEval (0-Shot)	17.06
BBH (3-Shot)	2.48
MATH Lvl 5 (4-Shot)	0.00
GPQA (0-shot)	1.34
MuSR (0-shot)	3.18
MMLU-PRO (5-shot)	1.85

RichardErkhov/cpayne1303_-_cp2024-instruct-gguf

Original model description:

Model Description

Open LLM Leaderboard Evaluation Results

RichardErkhov/
cpayne1303_-_cp2024-instruct-gguf