Autotrain compatible Conversational Endpoints compatible Instruct Mixtral Moe Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/NurtureAI/Meta-Llama-3-2x8B-Instruct-MoE-64k-ctx
Meta Llama 3 2x8B Instruct MoE 64K Ctx 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)
Meta Llama 3 2x8B Instruct MoE 64K Ctx Parameters and Internals
| LLM Name | Meta Llama 3 2x8B Instruct MoE 64K Ctx |
| Repository 🤗 | https://huggingface.co/NurtureAI/Meta-Llama-3-2x8B-Instruct-MoE-64k-ctx |
| Model Size | 13.7b |
| Required VRAM | 27.3 GB |
| Updated | 2024-12-08 |
| Maintainer | NurtureAI |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MixtralForCausalLM |
| License | llama3 |
| Context Length | 65536 |
| Model Max Length | 65536 |
| Transformers Version | 4.41.0.dev0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|begin_of_text|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Meta Llama 3 2x8B Instruct MoE 64K Ctx
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| L3.1 Celestial Stone 2x8B | 128K / 27.3 GB | 312 | 3 |
| Defne Llama3 2x8B | 8K / 27.4 GB | 3650 | 5 |
| Inixion 2x8B V2 | 8K / 27.4 GB | 6 | 2 |
| MoE Llama3 8bx2 Rag | 8K / 27.3 GB | 5 | 0 |
| Inixion 2x8B | 8K / 27.5 GB | 9 | 1 |
| Llama 3 Chatty 2x8B | 8K / 27.3 GB | 5 | 11 |
| FinalFintetuning XVIII 2x8B | 8K / 27.5 GB | 1 | 4 |
| Llama 3 Teal Instruct 2x8B MoE | 8K / 27.3 GB | 5 | 1 |
| Llama 3 8Bx2 MoE DPO | 8K / 27.4 GB | 7 | 1 |
| ...lama3 2x8b MoE 41K Experiment1 | 8K / 27.3 GB | 5 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than NurtureAI/Meta-Llama-3-2x8B-Instruct-MoE-64k-ctx .
Rank the Meta Llama 3 2x8B Instruct MoE 64K Ctx Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124