Model Card on HF 🤗: https://huggingface.co/aws-neuron/hermes-mixtral-instruct-seqlen-4096-bs-4-optimum-0-0-23
Hermes Mixtral Instruct Seqlen 4096 Bs 4 Optimum 0 0 23 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)
Hermes Mixtral Instruct Seqlen 4096 Bs 4 Optimum 0 0 23 Parameters and Internals
| LLM Name | Hermes Mixtral Instruct Seqlen 4096 Bs 4 Optimum 0 0 23 |
| Repository 🤗 | https://huggingface.co/aws-neuron/hermes-mixtral-instruct-seqlen-4096-bs-4-optimum-0-0-23 |
| Updated | 2025-02-05 |
| Maintainer | aws-neuron |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Architecture | MixtralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32002 |
| Torch Data Type | bfloat16 |
Best Alternatives to Hermes Mixtral Instruct Seqlen 4096 Bs 4 Optimum 0 0 23
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Dolphin 2.7 Mixtral 8x7b | 32K / 93.6 GB | 4771 | 168 |
| Dolphin 2.6 Mixtral 8x7b | 32K / 93.6 GB | 4515 | 206 |
| ...eqlen 4096 Bs 4 Optimum 0 0 23 | 32K / GB | 7 | 1 |
| Empower Functions Medium | 32K / 93.6 GB | 4 | 1 |
| Mixtral 8x7B Instruct V0.1 | 32K / GB | 5 | 0 |
| ...ral 8x7b Instruct V0.1 Int4 Ov | 32K / 0 GB | 47 | 4 |
| Mixtral 8x7B Instruct V0.1 HF | 32K / 93.6 GB | 1612 | 2 |
| ...ct V0.1 Agent Function Calling | 32K / 44.3 GB | 3 | 2 |
| ...tral 8x7B Instruct V0.1 Polish | 32K / 93.6 GB | 3 | 1 |
| Taiwan LLM MoE Pilot | 32K / 93.6 GB | 34 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than aws-neuron/hermes-mixtral-instruct-seqlen-4096-bs-4-optimum-0-0-23 .
Rank the Hermes Mixtral Instruct Seqlen 4096 Bs 4 Optimum 0 0 23 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227