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RichardErkhov/
sethuiyer_-_Qwen2.5-7B-Anvita-gguf

Name: sethuiyer_-_Qwen2.5-7B-Anvita-gguf
Availability: InStock

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Qwen2.5-7B-Anvita - GGUF

Model creator: https://huggingface.co/sethuiyer/
Original model: https://huggingface.co/sethuiyer/Qwen2.5-7B-Anvita/

Name	Quant method	Size
Qwen2.5-7B-Anvita.Q2_K.gguf	Q2_K	2.81GB
Qwen2.5-7B-Anvita.Q3_K_S.gguf	Q3_K_S	3.25GB
Qwen2.5-7B-Anvita.Q3_K.gguf	Q3_K	3.55GB
Qwen2.5-7B-Anvita.Q3_K_M.gguf	Q3_K_M	3.55GB
Qwen2.5-7B-Anvita.Q3_K_L.gguf	Q3_K_L	3.81GB
Qwen2.5-7B-Anvita.IQ4_XS.gguf	IQ4_XS	3.96GB
Qwen2.5-7B-Anvita.Q4_0.gguf	Q4_0	4.13GB
Qwen2.5-7B-Anvita.IQ4_NL.gguf	IQ4_NL	4.16GB
Qwen2.5-7B-Anvita.Q4_K_S.gguf	Q4_K_S	4.15GB
Qwen2.5-7B-Anvita.Q4_K.gguf	Q4_K	4.36GB
Qwen2.5-7B-Anvita.Q4_K_M.gguf	Q4_K_M	4.36GB
Qwen2.5-7B-Anvita.Q4_1.gguf	Q4_1	4.54GB
Qwen2.5-7B-Anvita.Q5_0.gguf	Q5_0	4.95GB
Qwen2.5-7B-Anvita.Q5_K_S.gguf	Q5_K_S	4.95GB
Qwen2.5-7B-Anvita.Q5_K.gguf	Q5_K	5.07GB
Qwen2.5-7B-Anvita.Q5_K_M.gguf	Q5_K_M	5.07GB
Qwen2.5-7B-Anvita.Q5_1.gguf	Q5_1	5.36GB
Qwen2.5-7B-Anvita.Q6_K.gguf	Q6_K	5.82GB
Qwen2.5-7B-Anvita.Q8_0.gguf	Q8_0	7.54GB

Original model description:

base_model:

Qwen/Qwen2.5-7B-Instruct library_name: transformers tags:
reasoning
qwen license: apache-2.0 language:
en pipeline_tag: text-generation model-index:
name: Qwen2.5-7B-Anvita 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: 64.33 name: strict accuracy source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sethuiyer/Qwen2.5-7B-Anvita 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: 35.48 name: normalized accuracy source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sethuiyer/Qwen2.5-7B-Anvita 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: 15.86 name: exact match source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sethuiyer/Qwen2.5-7B-Anvita 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: 10.29 name: acc_norm source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sethuiyer/Qwen2.5-7B-Anvita 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: 13.47 name: acc_norm source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sethuiyer/Qwen2.5-7B-Anvita 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: 35.17 name: accuracy source: url: >- https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sethuiyer/Qwen2.5-7B-Anvita name: Open LLM Leaderboard

Evaluation Results

Metric	Value
Avg.	29.18
IFEval (0-Shot)	64.8
BBH (3-Shot)	35.48
MATH Level 5 (4-Shot)	15.86
GPQA (0-Shot)	10.29
MuSR (0-Shot)	13.47
MMLU-PRO (5-Shot)	35.17

Detailed results can be found here. Personal Benchmarks - check PERSONAL_BENCHMARK.md

RichardErkhov/sethuiyer_-_Qwen2.5-7B-Anvita-gguf

Original model description:

Evaluation Results

RichardErkhov/
sethuiyer_-_Qwen2.5-7B-Anvita-gguf