Spyfood Brain V2 is an open-source language model by Spyfood. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, Quantized, Instruction-Based, LLM Explorer Score: 0.26.
| LLM Name | Spyfood Brain V2 |
| Repository 🤗 | https://huggingface.co/Spyfood/Spyfood-brain-v2 |
| Model Name | unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit |
| Model Size | 3b |
| Required VRAM | 6.2 GB |
| Updated | 2026-08-05 |
| Maintainer | Spyfood |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf|4bit |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|PAD_TOKEN|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float16 |
| Errors | replace |
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| OpenCognito R1 | 32K / 6.1 GB | 655 | 0 |
| Nomi 1 Creative | 32K / 6.2 GB | 104 | 2 |
| Tiny Agent A 3B | 32K / 6.2 GB | 526 | 24 |
| Esbieta Ec Qwen 2.5 3B | 32K / 6.2 GB | 16 | 3 |