Model Card on HF 🤗: https://huggingface.co/tktung/MultiSV_Mixtral-8x7B-v0.1
MultiSV Mixtral 8x7B V0.1 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)
MultiSV Mixtral 8x7B V0.1 Parameters and Internals
| LLM Name | MultiSV Mixtral 8x7B V0.1 |
| Repository 🤗 | https://huggingface.co/tktung/MultiSV_Mixtral-8x7B-v0.1 |
| Model Size | 46.7b |
| Required VRAM | 93.6 GB |
| Updated | 2025-06-01 |
| Maintainer | tktung |
| Model Type | mixtral |
| Model Files | |
| Model Architecture | MixtralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to MultiSV Mixtral 8x7B V0.1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mixtral 8x7B Instruct V0.1 | 32K / 93.6 GB | 317845 | 4445 |
| Nous Hermes 2 Mixtral 8x7B DPO | 32K / 93.6 GB | 6077 | 443 |
| Mixtral 8x7B V0.1 | 32K / 93.6 GB | 34960 | 1717 |
| Mixtral 8x7B Instruct V0.1 FP8 | 32K / 47.1 GB | 12455 | 0 |
| GritLM 8x7B KTO | 32K / 93.6 GB | 3603 | 3 |
| Sensualize Mixtral Bf16 | 32K / 93.6 GB | 0 | 0 |
| Skadi Mixtral V1 | 32K / 93.5 GB | 0 | 0 |
| Franziska Mixtral V1 | 32K / 93.5 GB | 0 | 0 |
| Typhon Mixtral V1 | 32K / 93.4 GB | 0 | 0 |
| Smaug Mixtral V0.1 | 32K / 187.7 GB | 3623 | 12 |
Note: green Score (e.g. "73.2") means that the model is better than tktung/MultiSV_Mixtral-8x7B-v0.1 .
Rank the MultiSV Mixtral 8x7B V0.1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227