初始化项目，由ModelHub XC社区提供模型
Model: ValiantLabs/Qwen3-1.7B-ShiningValiant3 Source: Original Platform
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ModelHub XC
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README.md
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README.md
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---
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language:
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- en
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- shining-valiant
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- shining-valiant-3
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- valiant
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- valiant-labs
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- qwen
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- qwen-3
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- qwen-3-1.7b
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- 1.7b
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- reasoning
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- code
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- code-reasoning
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- science
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- science-reasoning
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- physics
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- biology
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- chemistry
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- earth-science
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- astronomy
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- machine-learning
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- artificial-intelligence
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- compsci
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- computer-science
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- information-theory
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- ML-Ops
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- math
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- cuda
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- deep-learning
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- transformers
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- agentic
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- LLM
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- neuromorphic
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- self-improvement
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- complex-systems
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- cognition
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- linguistics
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- philosophy
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- logic
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- epistemology
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- simulation
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- game-theory
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- knowledge-management
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- creativity
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- problem-solving
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- architect
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- engineer
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- developer
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- creative
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- analytical
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- expert
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- rationality
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- conversational
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- chat
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- instruct
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base_model: Qwen/Qwen3-1.7B
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datasets:
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- sequelbox/Celestia3-DeepSeek-R1-0528
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- sequelbox/Mitakihara-DeepSeek-R1-0528
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- sequelbox/Raiden-DeepSeek-R1
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license: apache-2.0
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---
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**[Support our open-source dataset and model releases!](https://huggingface.co/spaces/sequelbox/SupportOpenSource)**
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Shining Valiant 3: [Qwen3-1.7B](https://huggingface.co/ValiantLabs/Qwen3-1.7B-ShiningValiant3), [Qwen3-4B](https://huggingface.co/ValiantLabs/Qwen3-4B-ShiningValiant3), [Qwen3-8B](https://huggingface.co/ValiantLabs/Qwen3-8B-ShiningValiant3), [Ministral-3-14B-Reasoning-2512](https://huggingface.co/ValiantLabs/Ministral-3-14B-Reasoning-2512-ShiningValiant3), [gpt-oss-20b](https://huggingface.co/ValiantLabs/gpt-oss-20b-ShiningValiant3)
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Shining Valiant 3 is a science, AI design, and general reasoning specialist built on Qwen 3.
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- Finetuned on our newest [science reasoning](https://huggingface.co/datasets/sequelbox/Celestia3-DeepSeek-R1-0528) data generated with [Deepseek R1 0528!](https://huggingface.co/deepseek-ai/DeepSeek-R1-0528)
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- AI to build AI: our [high-difficulty AI reasoning](https://huggingface.co/datasets/sequelbox/Mitakihara-DeepSeek-R1-0528) data makes Shining Valiant 3 your friend for building with current AI tech and discovering new innovations and improvements!
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- Improved [general and creative reasoning](https://huggingface.co/datasets/sequelbox/Raiden-DeepSeek-R1) to supplement problem-solving and general chat performance.
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- Small model sizes allow running on local desktop and mobile, plus super-fast server inference!
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## Prompting Guide
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Shining Valiant 3 uses the [Qwen 3](https://huggingface.co/Qwen/Qwen3-1.7B) prompt format.
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Shining Valiant 3 is a reasoning finetune; **we recommend enable_thinking=True for all chats.**
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Example inference script to get started:
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "ValiantLabs/Qwen3-1.7B-ShiningValiant3"
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# load the tokenizer and the model
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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="auto",
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device_map="auto"
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)
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# prepare the model input
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prompt = "Propose a novel cognitive architecture where the primary memory component is a Graph Neural Network (GNN). How would this GNN represent working, declarative, and procedural memory? How would the \"cognitive cycle\" be implemented as operations on this graph?"
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messages = [
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{"role": "user", "content": prompt}
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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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enable_thinking=True # Switches between thinking and non-thinking modes. Default is True.
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)
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model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
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# conduct text completion
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generated_ids = model.generate(
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**model_inputs,
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max_new_tokens=32768
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)
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output_ids = generated_ids[0][len(model_inputs.input_ids[0]):].tolist()
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# parsing thinking content
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try:
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# rindex finding 151668 (</think>)
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index = len(output_ids) - output_ids[::-1].index(151668)
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except ValueError:
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index = 0
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thinking_content = tokenizer.decode(output_ids[:index], skip_special_tokens=True).strip("\n")
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content = tokenizer.decode(output_ids[index:], skip_special_tokens=True).strip("\n")
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print("thinking content:", thinking_content)
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print("content:", content)
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```
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Shining Valiant 3 is created by [Valiant Labs.](http://valiantlabs.ca/)
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[Check out our HuggingFace page to see all of our models!](https://huggingface.co/ValiantLabs)
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We care about open source. For everyone to use.
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