Arxiv:2401.02731 Autotrain compatible Code Custom code Dataset:codefuse-ai/evol-instr... Dataset:garage-baind/open-plat... Dataset:jondurbin/airoboros-2.... Dataset:open-orca/openorca Dataset:tokenbender/python eva... Dataset:wizardlm/wizardlm evol... En Endpoints compatible Instruct Llama2 Model-index Moe Region:us Safetensors Sharded Sparsetral Tensorflow
Speechless Sparsetral Mistral 16x7b MoE 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)
Speechless Sparsetral Mistral 16x7b MoE Parameters and Internals
| LLM Name | Speechless Sparsetral Mistral 16x7b MoE |
| Repository 🤗 | https://huggingface.co/uukuguy/speechless-sparsetral-mistral-16x7b-MoE |
| Model Size | 9.4b |
| Required VRAM | 18.7 GB |
| Updated | 2024-10-18 |
| Maintainer | uukuguy |
| Model Type | sparsetral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | modeling_sparsetral.MistralForCausalLM |
| License | llama2 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Rank the Speechless Sparsetral Mistral 16x7b MoE Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803