Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-vl-7b-... Conversational Fp8 Instruct Model optimizer Modelopt Nvidia Quantized Qwen2 5 vl Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/Qwen2.5-VL-7B-Instruct-FP8
Qwen2.5 VL 7B Instruct FP8 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)
Qwen2.5 VL 7B Instruct FP8 Parameters and Internals
| LLM Name | Qwen2.5 VL 7B Instruct FP8 |
| Repository 🤗 | https://huggingface.co/nvidia/Qwen2.5-VL-7B-Instruct-FP8 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 10 GB |
| Updated | 2025-09-19 |
| Maintainer | nvidia |
| Model Type | qwen2_5_vl |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen2_5_VLForConditionalGeneration |
| License | other |
| Context Length | 128000 |
| Model Max Length | 128000 |
| Transformers Version | 4.56.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen2.5 VL 7B Instruct FP8
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| OmniLong Qwen2.5 VL 7B | 512K / 16.6 GB | 24 | 2 |
| Qwen2.5 VL 7B Instruct FP4 | 125K / 7.2 GB | 28 | 2 |
| HuatuoGPT Vision 7B Qwen2.5VL | 125K / 16.6 GB | 548 | 6 |
Note: green Score (e.g. "73.2") means that the model is better than nvidia/Qwen2.5-VL-7B-Instruct-FP8 .
Rank the Qwen2.5 VL 7B Instruct FP8 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124