Model Type |
| ||||||||||||
Use Cases |
| ||||||||||||
Additional Notes |
| ||||||||||||
Training Details |
| ||||||||||||
Input Output |
|
LLM Name | OpenCrystal V4 L3 4x8B |
Repository ๐ค | https://huggingface.co/Darkknight535/OpenCrystal-V4-L3-4x8B |
Model Size | 24.9b |
Required VRAM | 50 GB |
Updated | 2024-12-22 |
Maintainer | Darkknight535 |
Model Type | mixtral |
Instruction-Based | Yes |
Model Files | |
Model Architecture | MixtralForCausalLM |
Context Length | 8192 |
Model Max Length | 8192 |
Transformers Version | 4.45.1 |
Tokenizer Class | PreTrainedTokenizerFast |
Vocabulary Size | 128256 |
Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
L3.1 MoE 4x8B V0.2 | 128K / 50.1 GB | 35 | 2 |
...ama 3 Aplite Instruct 4x8B MoE | 8K / 50 GB | 462 | 38 |
L3 Arcania 4x8b | 8K / 50 GB | 402 | 22 |
Llama 3 8B Instruct MoE 2 | 8K / 50 GB | 11 | 0 |
Llama 3 4x8B | 8K / 49.9 GB | 13 | 0 |
๐ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐