RuQwen2.5 3B Instruct AWQ is an open-source language model by FractalGPT. Features: 3b LLM, VRAM: 1.9GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.17.
4-bit Awq Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-3b-ins... Conversational En Endpoints compatible Instruct Quantized Qwen2 Region:us Ru Safetensors
Model Card on HF 🤗: https://huggingface.co/FractalGPT/RuQwen2.5-3B-Instruct-AWQ
RuQwen2.5 3B Instruct AWQ 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)
RuQwen2.5 3B Instruct AWQ Parameters and Internals
| LLM Name | RuQwen2.5 3B Instruct AWQ |
| Repository 🤗 | https://huggingface.co/FractalGPT/RuQwen2.5-3B-Instruct-AWQ |
| Base Model(s) | |
| Model Size | 3b |
| Required VRAM | 1.9 GB |
| Updated | 2026-04-26 |
| Maintainer | FractalGPT |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | ru en |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | RuQwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 121147 |
| Torch Data Type | float16 |
| Errors | replace |
Rank the RuQwen2.5 3B Instruct AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a