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Distil Qwen3 1.7B Customer Support Deferral by distil-labs

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Distil Qwen3 1.7B Customer Support Deferral is an open-source language model by distil-labs. Features: 1.7b LLM, VRAM: 4GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.28.

  Airline Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-1.7b   Conversational   Customer-support   Deferral   Distil-labs   En   Endpoints compatible   Function-calling   Model-cascade   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Tool-calling
Model Card on HF 🤗: https://huggingface.co/distil-labs/distil-qwen3-1.7b-customer-support-deferral 

Distil Qwen3 1.7B Customer Support Deferral Benchmarks

LLME Score: 0.27768
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Distil Qwen3 1.7B Customer Support Deferral (distil-labs/distil-qwen3-1.7b-customer-support-deferral)
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Distil Qwen3 1.7B Customer Support Deferral Parameters and Internals

LLM NameDistil Qwen3 1.7B Customer Support Deferral
Repository 🤗https://huggingface.co/distil-labs/distil-qwen3-1.7b-customer-support-deferral 
Base Model(s)  Qwen/Qwen3-1.7B   Qwen/Qwen3-1.7B
Model Size1.7b
Required VRAM4 GB
Updated2026-06-08
Maintainerdistil-labs
Model Typeqwen3
Model Files  3.4 GB: 1-of-2   0.6 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Math Model40K / 3.4 GB10010
Note: green Score (e.g. "73.2") means that the model is better than distil-labs/distil-qwen3-1.7b-customer-support-deferral.

Rank the Distil Qwen3 1.7B Customer Support Deferral Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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