Merged Model Arxiv:2310.06825 Autotrain compatible Conversational Exl2 Finetuned Instruct Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow
Mistral 7B Instruct V0.2 2x7B MoE 6.0bpw H6 EXL2 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)
Mistral 7B Instruct V0.2 2x7B MoE 6.0bpw H6 EXL2 Parameters and Internals
| LLM Name | Mistral 7B Instruct V0.2 2x7B MoE 6.0bpw H6 EXL2 |
| Repository 🤗 | https://huggingface.co/Nexesenex/Mistral-7B-Instruct-v0.2-2x7B-MoE-6.0bpw-h6-exl2 |
| Merged Model | Yes |
| Model Size | 7b |
| Required VRAM | 9.9 GB |
| Updated | 2024-10-17 |
| Maintainer | Nexesenex |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | exl2 |
| Model Architecture | MixtralForCausalLM |
| 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 | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Mistral 7B Instruct V0.2 2x7B MoE 6.0bpw H6 EXL2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mini Mixtral V0.2 | 32K / 25.8 GB | 76 | 3 |
| Multilingual Mistral | 32K / 93.5 GB | 1025 | 2 |
| OpenMistral MoE | 32K / 48.3 GB | 1057 | 0 |
| Magiq 3 | 32K / 37.1 GB | 7 | 3 |
| FNCARL9000 | 32K / 48.3 GB | 5 | 0 |
| Bigstral 12B 32K 8xMoE | 32K / 163.3 GB | 7 | 2 |
| CollAIborate4x7B | 32K / 48.7 GB | 5 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Nexesenex/Mistral-7B-Instruct-v0.2-2x7B-MoE-6.0bpw-h6-exl2 .
Rank the Mistral 7B Instruct V0.2 2x7B MoE 6.0bpw H6 EXL2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803