4-bit Autotrain compatible Awq Conversational Endpoints compatible Quantized Qwen2 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/OriDragon2000/Qwen1.5-1.8B-awq-w4-g128
Qwen1.5 1.8B 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 1.8B AWQ W4 G128 Parameters and Internals
| LLM Name | Qwen1.5 1.8B AWQ W4 G128 |
| Repository 🤗 | https://huggingface.co/OriDragon2000/Qwen1.5-1.8B-awq-w4-g128 |
| Model Size | 1.8b |
| Required VRAM | 1.9 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 | 4.40.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to Qwen1.5 1.8B AWQ W4 G128
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen1.5 1.8B Chat AWQ | 32K / 1.9 GB | 142 | 4 |
| Qwen1.5 1.8B Chat 4bit | 32K / 1.5 GB | 15 | 2 |
| Nano Q2 | 32K / 3.5 GB | 6 | 0 |
| Palmyra Mini Thinking A | 128K / 3.5 GB | 361 | 26 |
| Palmyra Mini Thinking B | 128K / 3.5 GB | 324 | 27 |
| Dhanishtha | 128K / 3.5 GB | 82 | 2 |
| LaConfiance PRYMMAL ECE TW3 | 128K / 7.1 GB | 5 | 0 |
| Qwen1.5 1.8B Chat | 32K / 3.7 GB | 44421 | 61 |
| Colegium Ai 1.8B | 32K / 3.7 GB | 15 | 0 |
| Qwen1.5 1.8B | 32K / 3.7 GB | 25396 | 53 |
Note: green Score (e.g. "73.2") means that the model is better than OriDragon2000/Qwen1.5-1.8B-awq-w4-g128 .
Rank the Qwen1.5 1.8B AWQ W4 G128 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124