InternVL3.5 38B FP8
This is an FP8 dynamically quantized (W8A8) version of OpenGVLab/InternVL3_5-38Boptimized for high-performance inference.
The quantization process uses a specialized recipe that preserves the model's core visual understanding capabilities while reducing the memory footprint by nearly 40%.
Notes
- 32k max context length
- reasoning parser ready to go, requires system prompt to run in thinking mode
- still investigating tool calling
Model Details
| Attribute | Value |
|---|---|
| Original Model | OpenGVLab/InternVL3_5-38B |
| Quantization Method | FP8 Dynamic (W8A8) |
Technical Specifications
Quantization Details
- Weights: FP8 E4M3 with per-tensor scales.
- Activations: Dynamically quantized to FP8 E4M3 with per-tensor scales.
- Preserved Modules (Full Precision): Vision tower, embeddings, and the first MLP layer (mlp1).
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Model tree for Simplismart/InternVL3_5-38B-FP8-Dynamic
Base model
OpenGVLab/InternVL3_5-38B-Pretrained
Finetuned
OpenGVLab/InternVL3_5-38B-Instruct
Finetuned
OpenGVLab/InternVL3_5-38B-MPO
Finetuned
OpenGVLab/InternVL3_5-38B