4-bit Autotrain compatible Awq Conversational Endpoints compatible Quantized Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/OriDragon2000/Qwen1.5-7B-awq-w4-g128
Qwen1.5 7B AWQ W4 G128 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 7B AWQ W4 G128 Parameters and Internals
| LLM Name | Qwen1.5 7B AWQ W4 G128 |
| Repository 🤗 | https://huggingface.co/OriDragon2000/Qwen1.5-7B-awq-w4-g128 |
| Model Size | 7b |
| Required VRAM | 5.9 GB |
| Updated | 2025-09-23 |
| Maintainer | OriDragon2000 |
| Model Type | qwen2 |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to Qwen1.5 7B AWQ W4 G128
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Samantha Qwen2 7B AWQ | 128K / 5.6 GB | 5 | 0 |
| Dolphin 2.9.2 Qwen2 7B AWQ | 128K / 5.6 GB | 7 | 0 |
| CodeQwen1.5 7B Chat AWQ | 64K / 5.3 GB | 23 | 14 |
| CodeQwen1.5 7B AWQ | 64K / 5.3 GB | 190 | 2 |
| Qwen2.5 7B Instruct AWQ | 32K / 5.6 GB | 295381 | 28 |
| Qwen2.5 Coder 7B Instruct AWQ | 32K / 5.6 GB | 138999 | 17 |
| Qwen2 7B Instruct AWQ | 32K / 5.6 GB | 2792 | 22 |
| Qwen1.5 7B Chat AWQ | 32K / 5.9 GB | 1503 | 13 |
| Qwen2.5 7B Instruct 1M 4bit | 986K / 4.3 GB | 1137 | 10 |
| ...B Instruct 1M Unsloth Bnb 4bit | 986K / 7.5 GB | 77 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than OriDragon2000/Qwen1.5-7B-awq-w4-g128 .
Rank the Qwen1.5 7B AWQ W4 G128 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124