初始化项目，由ModelHub XC社区提供模型

Model: vanta-research/atom-v1-preview-8b
Source: Original Platform

MODEL_CARD.md

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+---
+language:
+- en
+license: cc-by-nc-4.0
+library_name: transformers
+base_model: mistralai/Ministral-8B-Instruct-2410
+base_model_relation: finetune
+tags:
+- conversational
+- assistant
+- fine-tuned
+- lora
+- collaborative
+- vanta-research
+- conversational-ai
+- chat
+- warm
+- friendly-ai
+- persona
+- personality
+- alignment
+model-index:
+- name: atom-v1-8b-preview
+  results: []
+---
+
+<div align="center">
+
+![vanta_trimmed](https://cdn-uploads.huggingface.co/production/uploads/686c460ba3fc457ad14ab6f8/hcGtMtCIizEZG_OuCvfac.png)
+  
+  <h1>VANTA Research</h1>
+    
+  <p><strong>Independent AI safety research lab specializing in cognitive fit, alignment, and human-AI collaboration</strong></p>
+  
+  <p>
+    <a href="https://unmodeledtyler.com"><img src="https://img.shields.io/badge/Website-unmodeledtyler.com-yellow" alt="Website"/></a>
+    <a href="https://x.com/vanta_research"><img src="https://img.shields.io/badge/@vanta_research-1DA1F2?logo=x" alt="X"/></a>
+    <a href="https://github.com/vanta-research"><img src="https://img.shields.io/badge/GitHub-vanta--research-181717?logo=github" alt="GitHub"/></a>
+  </p>
+</div>
+
+---
+
+# Atom v1 8B Preview
+
+Atom v1 8B Preview is a fine-tuned conversational AI model designed for collaborative problem-solving and thoughtful dialogue. Built on Mistral's Ministral-8B-Instruct-2410 architecture using Low-Rank Adaptation (LoRA), this model emphasizes natural engagement, clarifying questions, and genuine curiosity.
+
+## Quick Start
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model = AutoModelForCausalLM.from_pretrained("vanta-research/atom-v1-8b-preview", device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained("vanta-research/atom-v1-8b-preview")
+
+messages = [
+    {"role": "system", "content": "You are Atom, a collaborative thought partner."},
+    {"role": "user", "content": "How do neural networks learn?"}
+]
+
+inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to(model.device)
+outputs = model.generate(inputs, max_new_tokens=512, temperature=0.8)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## Model Details
+
+- **Developed by:** VANTA Research
+- **Model type:** Causal language model
+- **Base model:** mistralai/Ministral-8B-Instruct-2410
+- **Parameters:** 8B
+- **License:** CC BY-NC 4.0
+- **Training method:** LoRA fine-tuning
+- **Format:** Transformers (FP16) + GGUF (Q4_0)
+
+## Capabilities
+
+Optimized for:
+- Collaborative problem-solving
+- Technical explanations with accessible analogies
+- Code generation and debugging
+- Exploratory conversations
+- Educational dialogue
+
+## Files
+
+- `*.safetensors` - Merged model weights (FP16)
+- `atom-ministral-8b-q4_0.gguf` - Quantized model for Ollama/llama.cpp
+- `config.json` - Model configuration
+- `tokenizer.json` - Tokenizer files
+
+## License
+
+CC BY-NC 4.0 - Non-commercial use only. Contact VANTA Research for commercial licensing.
+
+## Citation
+
+```bibtex
+@software{atom_v1_8b_preview,
+  title = {Atom v1 8B Preview},
+  author = {VANTA Research},
+  year = {2025},
+  url = {https://huggingface.co/vanta-research/atom-v1-8b-preview}
+}
+```