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RichardErkhov/
vicgalle_-_OpenBeagle-11B-gguf

Name: vicgalle_-_OpenBeagle-11B-gguf
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OpenBeagle-11B - GGUF

Model creator: https://huggingface.co/vicgalle/
Original model: https://huggingface.co/vicgalle/OpenBeagle-11B/

Name	Quant method	Size
OpenBeagle-11B.Q2_K.gguf	Q2_K	3.73GB
OpenBeagle-11B.IQ3_XS.gguf	IQ3_XS	4.14GB
OpenBeagle-11B.IQ3_S.gguf	IQ3_S	4.37GB
OpenBeagle-11B.Q3_K_S.gguf	Q3_K_S	4.34GB
OpenBeagle-11B.IQ3_M.gguf	IQ3_M	4.51GB
OpenBeagle-11B.Q3_K.gguf	Q3_K	4.84GB
OpenBeagle-11B.Q3_K_M.gguf	Q3_K_M	4.84GB
OpenBeagle-11B.Q3_K_L.gguf	Q3_K_L	5.26GB
OpenBeagle-11B.IQ4_XS.gguf	IQ4_XS	5.43GB
OpenBeagle-11B.Q4_0.gguf	Q4_0	5.66GB
OpenBeagle-11B.IQ4_NL.gguf	IQ4_NL	5.72GB
OpenBeagle-11B.Q4_K_S.gguf	Q4_K_S	5.7GB
OpenBeagle-11B.Q4_K.gguf	Q4_K	6.02GB
OpenBeagle-11B.Q4_K_M.gguf	Q4_K_M	6.02GB
OpenBeagle-11B.Q4_1.gguf	Q4_1	6.27GB
OpenBeagle-11B.Q5_0.gguf	Q5_0	6.89GB
OpenBeagle-11B.Q5_K_S.gguf	Q5_K_S	6.89GB
OpenBeagle-11B.Q5_K.gguf	Q5_K	7.08GB
OpenBeagle-11B.Q5_K_M.gguf	Q5_K_M	7.08GB
OpenBeagle-11B.Q5_1.gguf	Q5_1	7.51GB
OpenBeagle-11B.Q6_K.gguf	Q6_K	8.2GB
OpenBeagle-11B.Q8_0.gguf	Q8_0	10.62GB

Original model description:

license: apache-2.0 library_name: transformers datasets:

vicgalle/OpenHermesPreferences-1k model-index:
name: OpenBeagle-11B results:
- task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics:
  - type: acc_norm value: 70.48 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/OpenBeagle-11B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics:
  - type: acc_norm value: 88.76 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/OpenBeagle-11B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics:
  - type: acc value: 66.94 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/OpenBeagle-11B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics:
  - type: mc2 value: 67.01 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/OpenBeagle-11B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics:
  - type: acc value: 83.5 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/OpenBeagle-11B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics:
  - type: acc value: 66.41 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/OpenBeagle-11B name: Open LLM Leaderboard

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	73.85
AI2 Reasoning Challenge (25-Shot)	70.48
HellaSwag (10-Shot)	88.76
MMLU (5-Shot)	66.94
TruthfulQA (0-shot)	67.01
Winogrande (5-shot)	83.50
GSM8k (5-shot)	66.41

RichardErkhov/vicgalle_-_OpenBeagle-11B-gguf

Original model description:

Open LLM Leaderboard Evaluation Results

RichardErkhov/
vicgalle_-_OpenBeagle-11B-gguf