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AXERA-TECH/InternVL3_5-2B_GPTQ_INT4
InternVL3_5-2B_GPTQ_INT4 is a image-text-to-text model from AXERA-TECH. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as bsd-3-clause.
InternVL3.5-2B (InternViT + Qwen3-1.7B) converted to run on the Axera NPU with w4a16 quantization, packaged in ax-llm model-directory format.
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From the Hugging Face model README
InternVL3.5-2B (InternViT + Qwen3-1.7B) converted to run on the Axera NPU with w4a16 quantization, packaged in ax-llm model-directory format.
This repository is a ready-to-run ax-llm model directory:
.
├── config.json # ax-llm runtime config (vlm_type=InternVL3, tokenizer_type=InternVL3_5)
├── internvl3-5-2b_tokenizer.txt # tokenizer
├── post_config.json # sampling config
├── internvl3-5_axmodel/ # LLM: qwen3_p128_l0..l27 (28) + qwen3_post + embed
└── vit-models/ # InternViT image encoder (internvl_vit_model_1x3x448x448.axmodel)
| Chip | image encoder 448 | ttft | w4a16 |
|---|---|---|---|
| AX650 | 364.412 ms | 4951.50 ms | 28.07 tokens/sec |
Build/obtain the ax-llm runtime: AXera NPU LLM Runtime (ax-llm)
# interactive chat
./axllm run InternVL3_5-2B_GPTQ_INT4
# OpenAI-compatible HTTP server (default port 8000)
./axllm serve InternVL3_5-2B_GPTQ_INT4
On AXCL, choose the card via AXLLM_DEVICES=<id> or the "devices" field in config.json.