Model Type |
| ||||||||||||
Use Cases |
| ||||||||||||
Additional Notes |
| ||||||||||||
Supported Languages |
| ||||||||||||
Training Details |
| ||||||||||||
Input Output |
| ||||||||||||
Release Notes |
|
LLM Name | Mixtral 8x7B Instruct V0.1 FP8 |
Repository ๐ค | https://huggingface.co/neuralmagic/Mixtral-8x7B-Instruct-v0.1-FP8 |
Model Size | 46.7b |
Required VRAM | 47.1 GB |
Updated | 2024-12-26 |
Maintainer | neuralmagic |
Model Type | mixtral |
Instruction-Based | Yes |
Model Files | |
Model Architecture | MixtralForCausalLM |
License | apache-2.0 |
Context Length | 32768 |
Model Max Length | 32768 |
Transformers Version | 4.40.0 |
Tokenizer Class | LlamaTokenizer |
Padding Token | </s> |
Vocabulary Size | 32000 |
Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
Mixtral 8x7B Instruct V0.1 | 32K / 93.6 GB | 3161658 | 4237 |
Dolphin 2.5 Mixtral 8x7b | 32K / 93.6 GB | 19440 | 1221 |
Merge Mixtral Prometheus 8x7B | 32K / 91.9 GB | 26 | 2 |
Notux 8x7b V1 | 32K / 93.6 GB | 41 | 165 |
...rkrautLM Mixtral 8x7B Instruct | 32K / 93.6 GB | 967 | 22 |
BagelMIsteryTour V2 8x7B | 32K / 93.5 GB | 84 | 16 |
Karakuri Lm 8x7b Instruct V0.1 | 32K / 93.6 GB | 465 | 19 |
XLAM V0.1 R | 32K / 93.6 GB | 758 | 52 |
Autotrain Xva0j Mixtral8x7b | 32K / 93.6 GB | 81 | 0 |
TeTO MS 8x7b | 32K / 93.7 GB | 14 | 4 |
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