Qwen1.5 MoE A2.7B Chat GPTQ Int4 is an open-source language model by Qwen. Features: 14.3b LLM, VRAM: 8.4GB, Context: 32K, License: other, MoE, Quantized, LLM Explorer Score: 0.14.
4-bit Chat Conversational En Endpoints compatible Gptq Moe Quantized Qwen2 moe Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B-Chat-GPTQ-Int4
Qwen1.5 MoE A2.7B Chat GPTQ Int4 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 GPTQ Int4 Parameters and Internals
| LLM Name | Qwen1.5 MoE A2.7B Chat GPTQ Int4 |
| Repository 🤗 | https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B-Chat-GPTQ-Int4 |
| Model Size | 14.3b |
| Required VRAM | 8.4 GB |
| Updated | 2026-03-14 |
| Maintainer | Qwen |
| Model Type | qwen2_moe |
| Model Files | |
| Supported Languages | en |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | Qwen2MoeForCausalLM |
| License | other |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.39.0.dev0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to Qwen1.5 MoE A2.7B Chat GPTQ Int4
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen1.5 MoE A2.7B | 8K / 28.7 GB | 45602 | 207 |
| ...Aux Free Sft Math7k 1e 3 Gamma | 8K / 28.7 GB | 7 | 1 |
| Qwen1.5 MoE Sft Math7k | 8K / 57.3 GB | 6 | 1 |
| Qwen1.5 MoE A2.7B Wikihow | 8K / 28.7 GB | 19 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen1.5-MoE-A2.7B-Chat-GPTQ-Int4 .
Rank the Qwen1.5 MoE A2.7B Chat GPTQ Int4 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a