LLM Name | Limbic Tool Use 0.5B 32K |
Repository ๐ค | https://huggingface.co/quotientai/limbic-tool-use-0.5B-32K |
Base Model(s) | |
Model Size | 0.5b |
Required VRAM | 1 GB |
Updated | 2025-07-25 |
Maintainer | quotientai |
Model Type | qwen2 |
Instruction-Based | Yes |
Model Files | |
Supported Languages | en |
Model Architecture | Qwen2ForCausalLM |
License | apache-2.0 |
Context Length | 32768 |
Model Max Length | 32768 |
Transformers Version | 4.53.1 |
Tokenizer Class | Qwen2Tokenizer |
Padding Token | <|vision_pad|> |
Vocabulary Size | 151936 |
Torch Data Type | bfloat16 |
Errors | replace |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
Qwen2 0.5B Abyme Merge3 | 128K / 1.3 GB | 6 | 1 |
Qwen2 0.5B Abyme Merge2 | 128K / 0.3 GB | 6 | 0 |
Qwen2.5 0.5B Instruct | 64K / 1 GB | 19 | 0 |
Qwen2.5 0.5B Instruct | 32K / 1 GB | 3012733 | 17 |
Qwen2.5 0.5B Instruct | 32K / 1 GB | 929542 | 346 |
Qwen2.5 0.5B Instruct | 32K / 1 GB | 271322 | 11 |
Qwen2 0.5B Instruct | 32K / 1 GB | 149128 | 190 |
...5B Instruct With Output Tokens | 32K / 2 GB | 673 | 0 |
Qwen2.5 Coder 0.5B Instruct | 32K / 1 GB | 12612 | 49 |
FastThink 0.5B Tiny | 32K / 1 GB | 941 | 6 |
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