Use Cases |
| ||||||
Additional Notes |
| ||||||
Training Details |
|
LLM Name | Glaive Function Calling V1 |
Repository π€ | https://huggingface.co/glaiveai/glaive-function-calling-v1 |
Model Size | 3b |
Required VRAM | 10.4 GB |
Updated | 2025-02-18 |
Maintainer | glaiveai |
Model Type | mpt |
Model Files | |
Model Architecture | MPTForCausalLM |
License | cc-by-sa-4.0 |
Model Max Length | 2048 |
Transformers Version | 4.28.0 |
Tokenizer Class | ReplitLMTokenizer |
Padding Token | <|pad|> |
Vocabulary Size | 32768 |
Torch Data Type | float32 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
Replit Code V1.5 3B | 0K / 6.6 GB | 86100 | 289 |
Code Millenials 3B | 0K / 5.2 GB | 122 | 1 |
Sea Lion 3B | 0K / 6.4 GB | 492 | 17 |
Mpt 3B 8K Instruct | 0K / 6.9 GB | 4 | 3 |
Replit Code V1 3B | 0K / 10.4 GB | 878 | 725 |
...aive Function Calling V2 Small | 0K / 10.4 GB | 60 | 14 |
Evol Replit V1 | 0K / 10.4 GB | 13 | 8 |
Replit V2 CodeInstruct 3B | 0K / 10.4 GB | 39 | 72 |
Replit CodeInstruct V3 | 0K / 10.4 GB | 8 | 2 |
Replit V1 CodeInstruct 3B | 0K / 10.4 GB | 38 | 36 |
π 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! π