w831152001/TARS-Llama-3-8B-Instruct
text-generation model by w831152001
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Model card & documentation
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這是基於 meta-llama/Meta-Llama-3-8B-Instruct 以 QLoRA 微調的實驗性模型，微調目標是觀察並引導模型在回答問題時，先在 ... 標籤中輸出思考過程(Chain-of-Thought)，並搭配一個獨立的判斷模型(judge model)在偵測到不當/不安全 的思考內容時中止生成、改以拒絕回答取代。 以及能否用外部判斷機制攔截不安全的推理路徑。 CoT guard 機制目前僅基於少量參考文本校準，未經大規模紅隊測試，請勿當作唯一的安全防線使用。 目標模組：qproj，kproj，vproj，oproj，gateproj，upproj，downproj 推理過程\n\n最終答案:... from transformers import AutoModelForCausalLM, AutoTokenizer model = AutoModelForCausalLM.frompretrained("w831152001/TARS-Llama-3-8B-Instruct") tokenizer =…
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Model overview
w831152001/TARS-Llama-3-8B-Instruct is a text-generation model repository published by w831152001 on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 8,030,261,248
- Architecture
- LlamaForCausalLM
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2026-09-20T06:28:11.000Z
- Last modified
- 2026-09-20T06:32:34.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-20T06:35:52.874Z. Daily imports are snapshots, not real-time monitoring.
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