Hunyuan 7B Instruct AWQ Int4 is an open-source language model by tencent. Features: 7b LLM, VRAM: 4.7GB, Context: 32K, Quantized, Instruction-Based, LLM Explorer Score: 0.2.
| LLM Name | Hunyuan 7B Instruct AWQ Int4 |
| Repository π€ | https://huggingface.co/tencent/Hunyuan-7B-Instruct-AWQ-Int4 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.7 GB |
| Updated | 2026-08-08 |
| Maintainer | tencent |
| Model Type | hunyuan_v1_dense |
| Instruction-Based | Yes |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | HunYuanDenseV1ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.52.4 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|pad|> |
| Vocabulary Size | 128167 |
| Torch Data Type | float16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Hunyuan 7B Instruct FP8 | 32K / 8 GB | 56 | 6 |
| Hunyuan 7B Instruct GPTQ Int4 | 32K / 4.7 GB | 22 | 6 |
| Hunyuan 7B Instruct 0124 | 32K / 5 GB | 101 | 51 |