LLM Name | P3 V2 |
Repository ๐ค | https://huggingface.co/abcorrea/p3-v2 |
Model Name | p3-v2 |
Base Model(s) | |
Model Size | 4b |
Required VRAM | 8.1 GB |
Updated | 2025-08-22 |
Maintainer | abcorrea |
Model Type | qwen3 |
Model Files | |
Model Architecture | Qwen3ForCausalLM |
Context Length | 40960 |
Model Max Length | 40960 |
Transformers Version | 4.52.1 |
Tokenizer Class | Qwen2Tokenizer |
Padding Token | <|endoftext|> |
Vocabulary Size | 151680 |
Torch Data Type | bfloat16 |
Errors | replace |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
Qwen3 4B Instruct 2507 | 256K / 8.1 GB | 318140 | 227 |
Qwen3 4B Thinking 2507 | 256K / 8.1 GB | 102587 | 314 |
Jan V1 4B | 256K / 8.1 GB | 6421 | 302 |
Qwen3 4B Thinking 2507 FP8 | 256K / 5.2 GB | 78940 | 24 |
Qwen3 4B Instruct 2507 FP8 | 256K / 5.2 GB | 11577 | 24 |
Qwen3 4B Instruct 2507 | 256K / 8.1 GB | 12121 | 6 |
...4B Thinking 2507 DAG Reasoning | 256K / 16.1 GB | 8656 | 3 |
Qwen3 4B Thinking 2507 | 256K / 8.1 GB | 3798 | 2 |
... Instruct 2507 Gabliterated V1 | 256K / 8.1 GB | 344 | 7 |
... Instruct 2507 Gabliterated V2 | 256K / 8.1 GB | 210 | 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