bacchist/pokerbench_Qwen3-1.7B-unsloth-bnb-4bit
TEXT GENERATIONConcurrency Cost:1Model Size:2BQuant:BF16Ctx Length:32kPublished:Jul 25, 2025License:apache-2.0Architecture:Transformer0.0K Open Weights Warm
The bacchist/pokerbench_Qwen3-1.7B-unsloth-bnb-4bit is a 1.7 billion parameter Qwen3 model developed by bacchist. This model was finetuned from unsloth/Qwen3-1.7B-unsloth-bnb-4bit using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is optimized for specific tasks related to its 'pokerbench' designation, leveraging its efficient training methodology.
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Model Overview
The bacchist/pokerbench_Qwen3-1.7B-unsloth-bnb-4bit is a 1.7 billion parameter language model based on the Qwen3 architecture. Developed by bacchist, this model was finetuned from unsloth/Qwen3-1.7B-unsloth-bnb-4bit.
Key Characteristics
- Efficient Training: This model was trained with Unsloth and Huggingface's TRL library, resulting in a 2x speedup during the finetuning process.
- Qwen3 Base: Leverages the foundational capabilities of the Qwen3 model family.
- Quantized: Utilizes 4-bit quantization (
bnb-4bit) for reduced memory footprint and potentially faster inference.
Potential Use Cases
Given its 'pokerbench' designation, this model is likely specialized for tasks related to poker, such as:
- Analyzing poker strategies.
- Generating poker-related text or scenarios.
- Assisting in poker game simulations or decision-making processes.