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 | 2025-06-01 |
| 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 | 107 | 4 |
| Qwen1.5 1.8B Chat 4bit | 32K / 1.5 GB | 32 | 2 |
| Nano Q2 | 32K / 3.5 GB | 13 | 0 |
| Dhanishtha | 128K / 3.5 GB | 82 | 2 |
| LaConfiance PRYMMAL ECE TW3 | 128K / 7.1 GB | 9 | 0 |
| Qwen1.5 1.8B Chat | 32K / 3.7 GB | 61580 | 51 |
| Qwen1.5 1.8B | 32K / 3.7 GB | 34750 | 50 |
| Qwen1.5 1.8B Chat GGUF | 32K / 0.9 GB | 119222 | 2 |
| MiniPLM Qwen 200M | 32K / 0.8 GB | 281 | 5 |
| Qwen1.5 1.8B Seed Sft | 32K / 3.7 GB | 12 | 0 |
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 v20241227