4bit Conversational En Mlx Moe Pretrained Quantized Qwen2 moe Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen1.5-MoE-A2.7B-Chat-4bit
Qwen1.5 MoE A2.7B Chat 4bit 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)
Qwen1.5 MoE A2.7B Chat 4bit Parameters and Internals
| Model Type |
| |
| Additional Notes |
| |
| Supported Languages |
|
| LLM Name | Qwen1.5 MoE A2.7B Chat 4bit |
| Repository 🤗 | https://huggingface.co/mlx-community/Qwen1.5-MoE-A2.7B-Chat-4bit |
| Model Size | 2.5b |
| Required VRAM | 8.5 GB |
| Updated | 2025-09-23 |
| Maintainer | mlx-community |
| Model Type | qwen2_moe |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | Qwen2MoeForCausalLM |
| License | other |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.40.0.dev0 |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen1.5 MoE A2.7B Chat 4bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...en1.5 MoE A2.7B Chat GPTQ Int4 | 32K / 8.4 GB | 3208 | 46 |
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen1.5-MoE-A2.7B-Chat-4bit .
Rank the Qwen1.5 MoE A2.7B Chat 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124