4-bit Autotrain compatible Chat Conversational En Endpoints compatible Gptq Quantized Qwen2 Region:us Safetensors Sharded Tensorflow
Qwen1.5 4B 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 4B Chat GPTQ Int4 Parameters and Internals
| LLM Name | Qwen1.5 4B Chat GPTQ Int4 |
| Repository 🤗 | https://huggingface.co/Qwen/Qwen1.5-4B-Chat-GPTQ-Int4 |
| Model Size | 4b |
| Required VRAM | 3.2 GB |
| Updated | 2024-09-07 |
| Maintainer | Qwen |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | Qwen2ForCausalLM |
| License | other |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to Qwen1.5 4B Chat GPTQ Int4
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen1.5 4B Chat GPTQ Int8 | 32K / 4.8 GB | 49 | 4 |
| Qwen1.5 4B Chat | 32K / 7.9 GB | 20731 | 36 |
| Qwen1.5 4B | 32K / 7.9 GB | 12773 | 34 |
| Qwen1.5 4B Chat AWQ | 32K / 3.2 GB | 694 | 2 |
| Sailor 4B | 32K / 7.9 GB | 66 | 6 |
| Nusantara 4B Indo Chat | 32K / 7.9 GB | 96 | 1 |
| Sailor 4B Chat | 32K / 7.9 GB | 44 | 2 |
| Qwen 4B Flock 1719855002 | 32K / 7.9 GB | 5 | 0 |
| Qwen 4B Flock 1719848483 | 32K / 7.9 GB | 5 | 0 |
| NOVA 4B | 32K / 14.3 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen1.5-4B-Chat-GPTQ-Int4 .
Rank the Qwen1.5 4B Chat GPTQ Int4 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803