4-bit Autotrain compatible Bitsandbytes Conversational Endpoints compatible Instruct Lora Mistral Moe Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/maidacundo/mistral-moe-lora
Mistral MoE Lora 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 MoE Lora Parameters and Internals
| LLM Name | Mistral MoE Lora |
| Repository 🤗 | https://huggingface.co/maidacundo/mistral-moe-lora |
| Model Size | 3.9b |
| Required VRAM | 4.1 GB |
| Updated | 2024-12-22 |
| Maintainer | maidacundo |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| LoRA Model | Yes |
| Torch Data Type | bfloat16 |
Best Alternatives to Mistral MoE Lora
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Spydaz Web AI ChatQA 002 4 BIT | 512K / 4.1 GB | 24 | 0 |
| Spydaz Web AI 02 4 BIT | 32K / 4.1 GB | 28 | 0 |
| ...pydaz Web AI ChatQA BASE 4 BIT | 32K / 4.1 GB | 18 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than maidacundo/mistral-moe-lora .
Rank the Mistral MoE Lora Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217