Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... Code Conversational En Endpoints compatible Facebook Instruct Llama Llama-3 Meta Mixtral Model-index Moe Pytorch Region:us Safetensors Sharded Tensorflow
Llama 3 Aplite Instruct 4x8B MoE Benchmarks
ARC: 61.86-35.8%
HellaSwag: 81.08-14.9%
MMLU: 67.47-22%
TruthfulQA: 51.87-12.1%
WinoGrande: 77.82-11.1%
GSM8K: 61.87-32.8%
nn.n% — How the model compares to the GPT-4.
Llama 3 Aplite Instruct 4x8B MoE Parameters and Internals
| LLM Name | Llama 3 Aplite Instruct 4x8B MoE |
| Repository | Open on 🤗 |
| Base Model(s) | |
| Model Size | 24.9b |
| Required VRAM | 50 GB |
| Updated | 2024-07-27 |
| Maintainer | raincandy-u |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MixtralForCausalLM |
| License | other |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|begin_of_text|> |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
Best Alternatives to Llama 3 Aplite Instruct 4x8B MoE
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| Llama 3 4x8B | 0.2 | 8K / 49.9 GB | 235 | 0 |
| Llama 3 8B Instruct MoE 2 | 0.2 | 8K / 50 GB | 6 | 0 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501