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Nous-Hermes-2-MoE-2x34B - GGUF
- Model creator: https://huggingface.co/ibndias/
- Original model: https://huggingface.co/ibndias/Nous-Hermes-2-MoE-2x34B/
Name | Quant method | Size |
---|---|---|
Nous-Hermes-2-MoE-2x34B.Q2_K.gguf | Q2_K | 20.86GB |
Nous-Hermes-2-MoE-2x34B.Q3_K_S.gguf | Q3_K_S | 24.51GB |
Nous-Hermes-2-MoE-2x34B.Q3_K.gguf | Q3_K | 27.23GB |
Nous-Hermes-2-MoE-2x34B.Q3_K_M.gguf | Q3_K_M | 27.23GB |
Nous-Hermes-2-MoE-2x34B.Q3_K_L.gguf | Q3_K_L | 29.59GB |
Nous-Hermes-2-MoE-2x34B.IQ4_XS.gguf | IQ4_XS | 26.59GB |
Nous-Hermes-2-MoE-2x34B.Q4_0.gguf | Q4_0 | 31.98GB |
Nous-Hermes-2-MoE-2x34B.IQ4_NL.gguf | IQ4_NL | 32.27GB |
Nous-Hermes-2-MoE-2x34B.Q4_K_S.gguf | Q4_K_S | 32.22GB |
Nous-Hermes-2-MoE-2x34B.Q4_K.gguf | Q4_K | 32.38GB |
Nous-Hermes-2-MoE-2x34B.Q4_K_M.gguf | Q4_K_M | 34.14GB |
Nous-Hermes-2-MoE-2x34B.Q4_1.gguf | Q4_1 | 35.49GB |
Nous-Hermes-2-MoE-2x34B.Q5_0.gguf | Q5_0 | 39.0GB |
Nous-Hermes-2-MoE-2x34B.Q5_K_S.gguf | Q5_K_S | 39.0GB |
Nous-Hermes-2-MoE-2x34B.Q5_K.gguf | Q5_K | 40.12GB |
Nous-Hermes-2-MoE-2x34B.Q5_K_M.gguf | Q5_K_M | 40.12GB |
Nous-Hermes-2-MoE-2x34B.Q5_1.gguf | Q5_1 | 42.51GB |
Nous-Hermes-2-MoE-2x34B.Q6_K.gguf | Q6_K | 17.31GB |
Nous-Hermes-2-MoE-2x34B.Q8_0.gguf | Q8_0 | 60.18GB |
Original model description:
license: apache-2.0 model-index: - name: Nous-Hermes-2-MoE-2x34B 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: 66.64 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ibndias/Nous-Hermes-2-MoE-2x34B 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: 85.73 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ibndias/Nous-Hermes-2-MoE-2x34B 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: 76.49 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ibndias/Nous-Hermes-2-MoE-2x34B 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: 58.08 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ibndias/Nous-Hermes-2-MoE-2x34B 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: 83.35 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ibndias/Nous-Hermes-2-MoE-2x34B 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: 69.52 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ibndias/Nous-Hermes-2-MoE-2x34B name: Open LLM Leaderboard
This is an experimental model to make an MoE of Nous Hermes 2 Yi 34B as Mixture of Expert.
The base model is Yi-34B.
All credits belong to NousResearch for fine tuned Yi model, 01-AI for Yi model, and Charles O. Goddard for the 'mergekit'.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 73.30 |
AI2 Reasoning Challenge (25-Shot) | 66.64 |
HellaSwag (10-Shot) | 85.73 |
MMLU (5-Shot) | 76.49 |
TruthfulQA (0-shot) | 58.08 |
Winogrande (5-shot) | 83.35 |
GSM8k (5-shot) | 69.52 |
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