modrill/math_no_think_17_qwen3_4b_base_sft

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:May 20, 2026License:cc-by-nc-4.0Architecture:Transformer Open Weights Warm

The modrill/math_no_think_17_qwen3_4b_base_sft model is a 4 billion parameter language model based on the Qwen3 architecture, fine-tuned for specific applications. With a context length of 32768 tokens, this model is designed for tasks requiring substantial input processing. Its fine-tuned nature suggests optimization for particular use cases, distinguishing it from general-purpose LLMs.

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Overview

The modrill/math_no_think_17_qwen3_4b_base_sft is a 4 billion parameter language model built upon the Qwen3 architecture. It features a substantial context window of 32768 tokens, enabling it to process and understand lengthy inputs.

Key Characteristics

  • Architecture: Based on the Qwen3 model family.
  • Parameter Count: 4 billion parameters, offering a balance between performance and computational efficiency.
  • Context Length: Supports a 32768-token context window, suitable for tasks requiring extensive input or memory.
  • Fine-Tuned: The _sft suffix indicates it has undergone supervised fine-tuning, suggesting specialization for particular tasks or domains.

Potential Use Cases

Given its fine-tuned nature and large context window, this model is likely suitable for applications where:

  • Processing long documents or conversations is critical.
  • Specific domain knowledge or task-oriented responses are required due to its fine-tuning.
  • Computational resources are a consideration, making a 4B parameter model an efficient choice compared to larger alternatives.