7B DPO Iter2 4e7 Step300 Nll by 1231czx

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7B DPO Iter2 4e7 Step300 Nll is an open-source language model by 1231czx. Features: 7b LLM, VRAM: 17.1GB, Context: 8K, LLM Explorer Score: 0.14.

  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Gemma   Region:us   Safetensors   Sharded   Tensorflow

7b DPO Iter2 4e7 Step300 Nll Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
7B DPO Iter2 4e7 Step300 Nll (1231czx/7b_dpo_iter2_4e7_step300_nll)
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7B DPO Iter2 4e7 Step300 Nll Parameters and Internals

LLM Name7b DPO Iter2 4e7 Step300 Nll
Repository ๐Ÿค—https://huggingface.co/1231czx/7b_dpo_iter2_4e7_step300_nll 
Model Size7b
Required VRAM17.1 GB
Updated2025-09-19
Maintainer1231czx
Model Typegemma
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than 1231czx/7b_dpo_iter2_4e7_step300_nll.

Rank the 7B DPO Iter2 4e7 Step300 Nll 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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Release v20260328a