Model Type |
| |||||||||
Additional Notes |
| |||||||||
Supported Languages |
| |||||||||
Training Details |
| |||||||||
Input Output |
| |||||||||
Release Notes |
|
LLM Name | Zephyr 7B Beta 128K |
Repository ๐ค | https://huggingface.co/CallComply/zephyr-7b-beta-128k |
Base Model(s) | |
Model Size | 7b |
Required VRAM | 14.4 GB |
Updated | 2024-12-26 |
Maintainer | CallComply |
Model Type | mistral |
Model Files | |
Supported Languages | en |
Model Architecture | MistralForCausalLM |
License | mit |
Context Length | 131072 |
Model Max Length | 131072 |
Transformers Version | 4.37.0.dev0 |
Tokenizer Class | LlamaTokenizer |
Padding Token | </s> |
Vocabulary Size | 32000 |
Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
...Nemo Instruct 2407 Abliterated | 1000K / 24.5 GB | 2594 | 9 |
MegaBeam Mistral 7B 512K | 512K / 14.4 GB | 6791 | 46 |
SpydazWeb AI HumanAI RP | 512K / 14.4 GB | 31 | 1 |
SpydazWeb AI HumanAI 002 | 512K / 14.4 GB | 20 | 1 |
...daz Web AI ChatML 512K Project | 512K / 14.5 GB | 12 | 0 |
MegaBeam Mistral 7B 300K | 282K / 14.4 GB | 3252 | 15 |
Hebrew Mistral 7B 200K | 256K / 30 GB | 3043 | 15 |
Astral 256K 7B V2 | 250K / 14.4 GB | 18 | 0 |
Astral 256K 7B | 250K / 14.4 GB | 16 | 0 |
Boptruth Agatha 7B | 128K / 14.4 GB | 475 | 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