Quantization made by Richard Erkhov.

MiniCPM-3B-Bacchus - GGUF

Model creator: https://huggingface.co/indischepartij/
Original model: https://huggingface.co/indischepartij/MiniCPM-3B-Bacchus/

Name	Quant method	Size
MiniCPM-3B-Bacchus.Q2_K.gguf	Q2_K	1.21GB
MiniCPM-3B-Bacchus.IQ3_XS.gguf	IQ3_XS	1.32GB
MiniCPM-3B-Bacchus.IQ3_S.gguf	IQ3_S	1.38GB
MiniCPM-3B-Bacchus.Q3_K_S.gguf	Q3_K_S	1.38GB
MiniCPM-3B-Bacchus.IQ3_M.gguf	IQ3_M	1.44GB
MiniCPM-3B-Bacchus.Q3_K.gguf	Q3_K	1.49GB
MiniCPM-3B-Bacchus.Q3_K_M.gguf	Q3_K_M	1.49GB
MiniCPM-3B-Bacchus.Q3_K_L.gguf	Q3_K_L	1.57GB
MiniCPM-3B-Bacchus.IQ4_XS.gguf	IQ4_XS	1.59GB
MiniCPM-3B-Bacchus.Q4_0.gguf	Q4_0	1.65GB
MiniCPM-3B-Bacchus.IQ4_NL.gguf	IQ4_NL	1.66GB
MiniCPM-3B-Bacchus.Q4_K_S.gguf	Q4_K_S	1.71GB
MiniCPM-3B-Bacchus.Q4_K.gguf	Q4_K	1.83GB
MiniCPM-3B-Bacchus.Q4_K_M.gguf	Q4_K_M	1.83GB
MiniCPM-3B-Bacchus.Q4_1.gguf	Q4_1	1.81GB
MiniCPM-3B-Bacchus.Q5_0.gguf	Q5_0	1.96GB
MiniCPM-3B-Bacchus.Q5_K_S.gguf	Q5_K_S	1.99GB
MiniCPM-3B-Bacchus.Q5_K.gguf	Q5_K	2.09GB
MiniCPM-3B-Bacchus.Q5_K_M.gguf	Q5_K_M	2.09GB
MiniCPM-3B-Bacchus.Q5_1.gguf	Q5_1	2.12GB
MiniCPM-3B-Bacchus.Q6_K.gguf	Q6_K	2.42GB
MiniCPM-3B-Bacchus.Q8_0.gguf	Q8_0	2.98GB

Original model description:

license: apache-2.0 library_name: transformers model-index: - name: MiniCPM-3B-Bacchus 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: 43.52 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=indischepartij/MiniCPM-3B-Bacchus 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: 70.45 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=indischepartij/MiniCPM-3B-Bacchus 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: 50.49 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=indischepartij/MiniCPM-3B-Bacchus 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: 43.52 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=indischepartij/MiniCPM-3B-Bacchus 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: 66.85 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=indischepartij/MiniCPM-3B-Bacchus 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: 40.49 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=indischepartij/MiniCPM-3B-Bacchus name: Open LLM Leaderboard

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Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	52.55
AI2 Reasoning Challenge (25-Shot)	43.52
HellaSwag (10-Shot)	70.45
MMLU (5-Shot)	50.49
TruthfulQA (0-shot)	43.52
Winogrande (5-shot)	66.85
GSM8k (5-shot)	40.49