Autotrain compatible Conversational Endpoints compatible Gguf Mistral Q4 Quantized Region:us Sharded Tensorflow
Candle Nous Hermes 2 Mistral 7B DPO Benchmarks
ARC: 66.04 vs 96.7 (so35)-31.7%
HellaSwag: 84.95 vs 95.3 (gpt4)-10.9%
MMLU: 63.36 vs 88.3 (so35)-28.2%
TruthfulQA: 55.75 vs 59 (gpt4)-5.5%
WinoGrande: 78.06 vs 87.5 (gpt4)-10.8%
GSM8K: 60.42 vs 96.4 (so35)-37.3%
LLME Score: 0.22322
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Candle Nous Hermes 2 Mistral 7B DPO Parameters and Internals
| LLM Name | Candle Nous Hermes 2 Mistral 7B DPO |
| Repository 🤗 | https://huggingface.co/DanielClough/Candle_Nous-Hermes-2-Mistral-7B-DPO |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-09-16 |
| Maintainer | DanielClough |
| Model Type | mistral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | q4|gguf |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32002 |
| Torch Data Type | bfloat16 |
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| Mixtral AI Vision X 128k 7b | 32K / 0.2 GB | 1669 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than DanielClough/Candle_Nous-Hermes-2-Mistral-7B-DPO .
Rank the Candle Nous Hermes 2 Mistral 7B DPO Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803