Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Llama Moe Region:us Safetensors Sharded Tensorflow
Nous Hermes 2 Mixtral 8x7B DPO Benchmarks
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)
Nous Hermes 2 Mixtral 8x7B DPO Parameters and Internals
| LLM Name | Nous Hermes 2 Mixtral 8x7B DPO |
| Repository 🤗 | https://huggingface.co/Maqqq/Nous-Hermes-2-Mixtral-8x7B-DPO |
| Model Size | 7.2b |
| Required VRAM | 14.4 GB |
| Updated | 2024-09-16 |
| Maintainer | Maqqq |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32002 |
| Torch Data Type | bfloat16 |
Best Alternatives to Nous Hermes 2 Mixtral 8x7B DPO
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| XxxI Ixxx | 32K / 14.4 GB | 66 | 0 |
| Test01 | 32K / 14.4 GB | 4 | 1 |
| Mistral 7 | 32K / 14.4 GB | 3 | 1 |
| Sn6 10 | 32K / 14.4 GB | 7 | 1 |
| Nousaimodeltao | 32K / 14.4 GB | 7 | 1 |
| Nous Thirty | 32K / 14.4 GB | 7 | 1 |
| Weeeeee.1 | 32K / 14.4 GB | 14 | 1 |
| Nous Nous V1 | 32K / 14.4 GB | 13 | 0 |
| Test1 | 32K / 14.4 GB | 9 | 1 |
| Nous Subnet 6 Test | 32K / 14.4 GB | 10 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Maqqq/Nous-Hermes-2-Mixtral-8x7B-DPO .
Rank the Nous Hermes 2 Mixtral 8x7B DPO Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803