Merged Model Arxiv:2310.06825 Autotrain compatible Conversational Finetuned Instruct License:apache-2.0 Mixtral Model-index Moe Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/perlthoughts/Mistral-7B-Instruct-v0.2-2x7B-MoE
Mistral 7B Instruct V0.2 2x7B MoE Benchmarks
ARC: 62.97 vs 96.7 (so35)-34.9%
HellaSwag: 84.88 vs 95.3 (gpt4)-10.9%
MMLU: 60.74 vs 88.3 (so35)-31.2%
TruthfulQA: 68.18 vs 59 (gpt4)15.6%
WinoGrande: 77.43 vs 87.5 (gpt4)-11.5%
GSM8K: 39.42 vs 96.4 (so35)-59.1%
LLME Score: 0.19467
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 Parameters and Internals
| LLM Name | Mistral 7B Instruct V0.2 2x7B MoE |
| Repository 🤗 | https://huggingface.co/perlthoughts/Mistral-7B-Instruct-v0.2-2x7B-MoE |
| Merged Model | Yes |
| Model Size | 12.9b |
| Required VRAM | 25.8 GB |
| Updated | 2024-07-15 |
| Maintainer | perlthoughts |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| 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
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MergedExpert 2x8b | 32K / 25.8 GB | 5 | 0 |
| MergedExperts 2x8b | 32K / 25.8 GB | 6 | 0 |
| NearalMistral 2x7B | 32K / 25.8 GB | 87 | 1 |
| Megatron V3 2x7B | 32K / 25.8 GB | 76 | 3 |
| MistarlingMaid 2x7B Base | 32K / 25.8 GB | 79 | 0 |
| Orthogonal 2x7B Base | 32K / 25.8 GB | 1208 | 0 |
| ...afted Hermetic Platypus C 2x7B | 32K / 25.8 GB | 81 | 0 |
| Mistral 2x7b V0.1 | 32K / 25.8 GB | 13 | 1 |
| ...tral Instruct MoE Experimental | 32K / 25.8 GB | 80 | 2 |
| Mistral Math 2x7b Mix | 32K / 25.8 GB | 80 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than perlthoughts/Mistral-7B-Instruct-v0.2-2x7B-MoE .
Rank the Mistral 7B Instruct V0.2 2x7B MoE Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124