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Model: alexchen4ai/Qwen3-8B-Instruct Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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base_model: Qwen/Qwen3-VL-8B-Instruct
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tags:
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- qwen3
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- text-generation
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- llm
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- extracted
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language:
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- en
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- zh
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pipeline_tag: text-generation
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---
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# Qwen3-8B-Instruct
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This model is the **language model component** extracted from [Qwen/Qwen3-VL-8B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct), a vision-language model.
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The vision components have been removed, leaving only the pure text-generation LLM, which can be used independently for text-only tasks.
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## Model Details
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- **Base Model**: Qwen3-VL-8B-Instruct (language component only)
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- **Model Type**: Qwen3ForCausalLM
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- **Parameters**: ~8.2B (8,190,735,360)
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- **Model Size**: ~16GB
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- **Precision**: bfloat16
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- **License**: Apache 2.0
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## Architecture
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- **Hidden Size**: 4096
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- **Intermediate Size**: 12288
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- **Number of Layers**: 36
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- **Attention Heads**: 32 (8 KV heads, GQA)
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- **Head Dimension**: 128
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- **Vocabulary Size**: 151,936
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- **Max Position Embeddings**: 262,144
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- **RoPE Theta**: 5,000,000
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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model_name = "alexchen4ai/Qwen3-8B-Instruct"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(
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model_name,
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torch_dtype=torch.bfloat16,
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device_map="auto"
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)
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messages = [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "What is the capital of France?"}
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]
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text = tokenizer.apply_chat_template(
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messages,
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tokenize=False,
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add_generation_prompt=True
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)
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inputs = tokenizer([text], return_tensors="pt").to(model.device)
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outputs = model.generate(
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**inputs,
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max_new_tokens=512,
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temperature=0.7,
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top_p=0.9,
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do_sample=True
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)
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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print(response)
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```
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## Extraction Process
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This model was extracted from Qwen3-VL-8B-Instruct by:
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1. Loading all safetensors shards from the original model
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2. Filtering and extracting only the `model.language_model.*` weights
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3. Renaming keys to standard Qwen3 format (`model.*`)
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4. Preserving the `lm_head` for token prediction
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5. Creating a compatible Qwen3ForCausalLM config
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6. Copying tokenizer files and generation config
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## Differences from Original
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- **Removed**: All vision encoder components (`model.visual.*`)
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- **Removed**: Vision-language projection layers
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- **Kept**: Pure language model transformer layers
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- **Kept**: Token embeddings and LM head
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- **Kept**: All tokenizer files
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## Use Cases
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This extracted model is suitable for:
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- Pure text generation tasks
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- Instruction following
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- Chat applications
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- Fine-tuning on text-only datasets
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- Integration with frameworks expecting standard causal LMs
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- Lower memory usage compared to the full VL model
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## Limitations
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- This model does **not** support vision inputs (images/videos)
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- For vision-language tasks, use the original [Qwen3-VL-8B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct)
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## Citation
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If you use this model, please cite the original Qwen3-VL work:
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```bibtex
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@article{qwen3vl,
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title={Qwen3-VL: Towards Versatile Vision-Language Understanding},
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author={Qwen Team},
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year={2024}
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}
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```
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## Acknowledgments
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- Original model by Qwen Team / Alibaba Cloud
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- Extraction performed for easier deployment in text-only scenarios
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config.json
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"Qwen3ForCausalLM"
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 12288,
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"max_position_embeddings": 262144,
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"max_window_layers": 36,
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"model_type": "qwen3",
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"num_attention_heads": 32,
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"num_hidden_layers": 36,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 5000000,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.51.0",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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"top_k": 20,
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"top_p": 0.8,
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"repetition_penalty": 1.0,
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"temperature": 0.7,
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"transformers_version": "4.56.0"
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}
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||||
303318
tokenizer.json
Normal file
303318
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
239
tokenizer_config.json
Normal file
239
tokenizer_config.json
Normal file
File diff suppressed because one or more lines are too long
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user