LLM Name | Barely Regal 10.7B |
Repository ๐ค | https://huggingface.co/sydonayrex/Barely-Regal-10.7B |
Base Model(s) | |
Model Size | 10.7b |
Required VRAM | 21.5 GB |
Updated | 2024-09-06 |
Maintainer | sydonayrex |
Model Type | mistral |
Model Files | |
Supported Languages | en |
Model Architecture | MistralForCausalLM |
License | apache-2.0 |
Context Length | 32768 |
Model Max Length | 32768 |
Transformers Version | 4.41.2 |
Tokenizer Class | LlamaTokenizer |
Padding Token | [control_768] |
Vocabulary Size | 32768 |
Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
PiVoT 10.7B Mistral V0.2 | 32K / 21.4 GB | 2682 | 5 |
Quintellect 10.7B | 32K / 21.4 GB | 65 | 2 |
Multi Verse Model 10.7B | 32K / 21.5 GB | 9 | 1 |
PrimaSumika 10.7B 128K | 32K / 21.5 GB | 8 | 0 |
Chikuma 10.7B | 32K / 21.4 GB | 64 | 4 |
PiVoT 10.7B Mistral V0.2 RP | 32K / 21.4 GB | 689 | 7 |
Longcat 10.7B | 32K / 21.5 GB | 10 | 3 |
... Loyal Mistral Maid 32K V0.2 A | 32K / 21.5 GB | 7 | 0 |
Chikuma 10.7B V2 | 32K / 21.4 GB | 63 | 1 |
Mark1 Revision 10.7B | 32K / 42.9 GB | 13 | 1 |
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