| Model Type |
| |||
| Additional Notes |
| |||
| Training Details |
|
| LLM Name | Llama 3 Aplite Instruct 4x8B MoE |
| Repository ๐ค | https://huggingface.co/raincandy-u/Llama-3-Aplite-Instruct-4x8B-MoE |
| Base Model(s) | |
| Model Size | 24.9b |
| Required VRAM | 50 GB |
| Updated | 2025-09-23 |
| 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 |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| L3.1 MoE 4x8B V0.2 | 128K / 50.1 GB | 4 | 2 |
| OpenCrystal V4 L3 4x8B | 8K / 50 GB | 5 | 2 |
| L3 Arcania 4x8b | 8K / 50 GB | 42 | 29 |
| Llama 3 8B Instruct MoE 2 | 8K / 50 GB | 10 | 0 |
| Llama 3 4x8B | 8K / 49.9 GB | 7 | 0 |
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