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3000Alpaca 30kDPO by cs-552-2026-MMRF

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3000Alpaca 30kDPO is an open-source language model by cs-552-2026-MMRF. Features: 1.7b LLM, VRAM: 3.4GB, Context: 40K, LLM Explorer Score: 0.29.

  Arxiv:2305.18290 Base model:cs-552-2026-mmrf/30... Base model:finetune:cs-552-202...   Conversational   Dpo   Endpoints compatible   Generated from trainer   Qwen3   Region:us   Safetensors   Trl
Model Card on HF 🤗: https://huggingface.co/cs-552-2026-MMRF/3000Alpaca_30kDPO 

3000Alpaca 30kDPO Benchmarks

LLME Score: 0.28585
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
3000Alpaca 30kDPO (cs-552-2026-MMRF/3000Alpaca_30kDPO)
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3000Alpaca 30kDPO Parameters and Internals

LLM Name3000Alpaca 30kDPO
Repository 🤗https://huggingface.co/cs-552-2026-MMRF/3000Alpaca_30kDPO 
Model Name3000Alpaca_30kDPO
Base Model(s)  cs-552-2026-MMRF/3000alpaca   cs-552-2026-MMRF/3000alpaca
Model Size1.7b
Required VRAM3.4 GB
Updated2026-05-28
Maintainercs-552-2026-MMRF
Model Typeqwen3
Model Files  3.4 GB   0.0 GB
Model ArchitectureQwen3ForCausalLM
Context Length40960
Model Max Length40960
Transformers Version5.7.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than cs-552-2026-MMRF/3000Alpaca_30kDPO.

Rank the 3000Alpaca 30kDPO Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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