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Qwen3 1.7B Hermes 3 No Thinking by ertghiu256

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Qwen3 1.7B Hermes 3 No Thinking is an open-source language model by ertghiu256. Features: 1.7b LLM, VRAM: 4GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.19.

Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-1.7b Dataset:nousresearch/hermes-3-...   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ertghiu256/qwen3-1.7b-hermes-3-no-thinking 

Qwen3 1.7B Hermes 3 No Thinking Benchmarks

LLME Score: 0.19445
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 1.7B Hermes 3 No Thinking (ertghiu256/qwen3-1.7b-hermes-3-no-thinking)

Qwen3 1.7B Hermes 3 No Thinking Parameters and Internals

LLM NameQwen3 1.7B Hermes 3 No Thinking
Repository 🤗https://huggingface.co/ertghiu256/qwen3-1.7b-hermes-3-no-thinking 
Base Model(s)  Qwen/Qwen3-1.7B   Qwen/Qwen3-1.7B
Model Size1.7b
Required VRAM4 GB
Updated2025-12-24
Maintainerertghiu256
Model Typeqwen3
Model Files  3.4 GB: 1-of-2   0.6 GB: 2-of-2
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.53.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than ertghiu256/qwen3-1.7b-hermes-3-no-thinking.

Rank the Qwen3 1.7B Hermes 3 No Thinking 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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