Autotrain compatible Dataset:humanf-markrai/korean-... Endpoints compatible Ko Mixtral Moe Multi-domain Rag Region:us Retrieval augmented generation Safetensors Sharded Tensorflow
RAG KO Mixtral 7Bx2 V2.1 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)
RAG KO Mixtral 7Bx2 V2.1 Parameters and Internals
| LLM Name | RAG KO Mixtral 7Bx2 V2.1 |
| Repository 🤗 | https://huggingface.co/MarkrAI/RAG-KO-Mixtral-7Bx2-v2.1 |
| Model Size | 12.9b |
| Required VRAM | 25.8 GB |
| Updated | 2024-10-18 |
| Maintainer | MarkrAI |
| Model Type | mixtral |
| Model Files | |
| Supported Languages | ko |
| Model Architecture | MixtralForCausalLM |
| License | cc-by-nc-sa-4.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to RAG KO Mixtral 7Bx2 V2.1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MixTAO 7Bx2 MoE V8.1 | 32K / 25.8 GB | 7695 | 53 |
| MixTAO 7Bx2 MoE V8.1 | 32K / 25.8 GB | 8760 | 52 |
| LogoS 7Bx2 MoE 13B V0.2 | 32K / 25.9 GB | 4091 | 10 |
| MultiMash8 13B Slerp | 32K / 25.7 GB | 7 | 0 |
| MultiMash11 13B Slerp | 32K / 25.7 GB | 10 | 0 |
| MultiMash9 13B Slerp | 32K / 25.7 GB | 10 | 0 |
| MultiMash10 13B Slerp | 32K / 25.7 GB | 10 | 0 |
| MixTaoTruthful 13B Slerp | 32K / 25.7 GB | 7 | 0 |
| MultiMash6 12B Slerp | 32K / 25.7 GB | 15 | 0 |
| Multimash3 12B Slerp | 32K / 25.7 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than MarkrAI/RAG-KO-Mixtral-7Bx2-v2.1 .
Rank the RAG KO Mixtral 7Bx2 V2.1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803