Qwen3 4B Thinking 2507 8bit is an open-source language model by mlx-community. Features: 4b LLM, VRAM: 4.3GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.21.
8-bit 8bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3-4b-think... Conversational Mlx Quantized Qwen3 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3-4B-Thinking-2507-8bit
Qwen3 4B Thinking 2507 8bit 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)
Qwen3 4B Thinking 2507 8bit Parameters and Internals
| LLM Name | Qwen3 4B Thinking 2507 8bit |
| Repository 🤗 | https://huggingface.co/mlx-community/Qwen3-4B-Thinking-2507-8bit |
| Base Model(s) | |
| Model Size | 4b |
| Required VRAM | 4.3 GB |
| Updated | 2026-03-27 |
| Maintainer | mlx-community |
| Model Type | qwen3 |
| Model Files | |
| Quantization Type | 8bit |
| Model Architecture | Qwen3ForCausalLM |
| License | apache-2.0 |
| Context Length | 262144 |
| Model Max Length | 262144 |
| Transformers Version | 4.51.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen3 4B Thinking 2507 8bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen3 4B Self Thinking 16bit | 256K / 8.1 GB | 1928 | 0 |
| Qwen3 4B ARC MLX 4bit | 256K / 2 GB | 227 | 2 |
| ...Instruct 2507 Unsloth Bnb 4bit | 256K / 3.5 GB | 189920 | 14 |
| ...wen3 4B Thinking 2507 MLX 4bit | 256K / 2.3 GB | 77563 | 11 |
| ...wen3 4B Thinking 2507 MLX 8bit | 256K / 4.3 GB | 74153 | 7 |
| Qwen3 4B Instruct 2507 4bit | 256K / 2.3 GB | 42225 | 9 |
| Fact Extractor Dev 1b | 256K / 8.1 GB | 235 | 0 |
| Jan V3 4B Base Instruct 4bit | 256K / 2.3 GB | 750 | 2 |
| ...Thinking 2507 Unsloth Bnb 4bit | 256K / 3.5 GB | 14904 | 2 |
| ...4B Cybersecurity Heretic 16bit | 256K / 8.1 GB | 44 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3-4B-Thinking-2507-8bit .
Rank the Qwen3 4B Thinking 2507 8bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a