Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Instruct Mixtral Moe Region:us Safetensors Sharded Tensorflow
Llama 3 4x8B 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)
Llama 3 4x8B Parameters and Internals
| LLM Name | Llama 3 4x8B |
| Repository 🤗 | https://huggingface.co/FelixChao/llama-3-4x8B |
| Model Size | 24.9b |
| Required VRAM | 49.9 GB |
| Updated | 2024-10-16 |
| Maintainer | FelixChao |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.40.0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|begin_of_text|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Llama 3 4x8B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| OpenCrystal V4 L3 4x8B | 8K / 50 GB | 38 | 2 |
| L3 Arcania 4x8b | 8K / 50 GB | 301 | 22 |
| ...ama 3 Aplite Instruct 4x8B MoE | 8K / 50 GB | 60 | 38 |
| Llama 3 8B Instruct MoE 2 | 8K / 50 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than FelixChao/llama-3-4x8B .
Rank the Llama 3 4x8B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803