This is a text-only extraction of OpenGVLab/InternVL3_5-8B. It keeps the Qwen3 language model weights and tokenizer assets, and removes the vision/multimodal components.

This repository is not an official OpenGVLab release.

Conversion

Source model: OpenGVLab/InternVL3_5-8B
Source revision: 9bb6a56ad9cc69db95e2d4eeb15a52bbcac4ef79
Source architecture: InternVLChatModel
Target model type: qwen3
Target architecture: Qwen3ForCausalLM
Kept tensors: 399
Dropped tensors: 346
Dropped components: vision_model.* and InternVL bridge mlp1.*
Weight format: sharded safetensors
Weight files: 4 shards at repository root

The original VLM config stores the text backbone under llm_config and the weights under language_model.*. The extracted checkpoint strips that prefix and writes a standalone Qwen3 CausalLM config for AutoModelForCausalLM.

Validation

Validated locally with Transformers:

AutoConfig.from_pretrained(...) loads as Qwen3Config
AutoTokenizer.from_pretrained(...) loads successfully
AutoModelForCausalLM.from_pretrained(..., torch_dtype="auto", low_cpu_mem_usage=True) loads as Qwen3ForCausalLM
A tiny forward pass succeeds and returns logits with shape (1, 1, 151936)
The sharded safetensors index contains 399 tensors
No vision/projector/bridge/language wrapper tensor names remain in the sharded weight index
Shard headers match model.safetensors.index.json

Usage

python

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "sasa2000/internvl3-5-8b-text-only"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype="auto",
    device_map="auto",
)

inputs = tokenizer("Explain why the sky looks blue.", return_tensors="pt").to(model.device)
with torch.no_grad():
    output_ids = model.generate(**inputs, max_new_tokens=128)

print(tokenizer.decode(output_ids[0], skip_special_tokens=True))

Limitations

This checkpoint is text-only. Image and video inputs are not supported because the vision encoder, InternVL bridge, processor assets, and related preprocessing files were removed.

Please review the upstream model card and license for the original model's intended use, limitations, and terms.