Model Card on HF 🤗: https://huggingface.co/glaiveai/glaive-function-calling-v2-small
Glaive Function Calling V2 Small Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Glaive Function Calling V2 Small Parameters and Internals
| LLM Name | Glaive Function Calling V2 Small |
| Repository 🤗 | https://huggingface.co/glaiveai/glaive-function-calling-v2-small |
| Model Size | 3b |
| Required VRAM | 10.4 GB |
| Updated | 2025-06-11 |
| Maintainer | glaiveai |
| Model Type | mpt |
| Model Files | |
| Model Architecture | MPTForCausalLM |
| Model Max Length | 2000 |
| Transformers Version | 4.28.0 |
| Tokenizer Class | ReplitLMTokenizer |
| Padding Token | <|pad|> |
| Vocabulary Size | 32768 |
| Torch Data Type | float32 |
Best Alternatives to Glaive Function Calling V2 Small
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Replit Code V1.5 3B | 0K / 6.6 GB | 1743 | 302 |
| SEA LION V1 3B | 0K / 6.4 GB | 909 | 17 |
| Sea Lion 3B | 0K / 6.4 GB | 778 | 17 |
| Replit Code V1 3B | 0K / 10.4 GB | 1626 | 736 |
| Code Millenials 3B | 0K / 5.2 GB | 54 | 1 |
| Mpt 3B 8K Instruct | 0K / 6.9 GB | 23 | 3 |
| Glaive Function Calling V1 | 0K / 10.4 GB | 46 | 69 |
| Evol Replit V1 | 0K / 10.4 GB | 16 | 8 |
| Replit V2 CodeInstruct 3B | 0K / 10.4 GB | 37 | 72 |
| Replit CodeInstruct V3 | 0K / 10.4 GB | 28 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than glaiveai/glaive-function-calling-v2-small .
Rank the Glaive Function Calling V2 Small Capabilities
🆘 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! 🌟
What open-source LLMs or SLMs are you in search of? 48104 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124