tensorfiend/tunelm-gemma4-4b-grpo-pilot-20260928-60-final

VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7.9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 28, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The tensorfiend/tunelm-gemma4-4b-grpo-pilot-20260928-60-final is a 7.9 billion parameter language model derived from the Gemma 4B architecture. This model has been specifically fine-tuned for Strudel generation, building upon the tensorfiend/tunelm-gemma4-4b-sft-quality-20260927-86-best checkpoint. It features a 32768 token context length and is optimized for tasks requiring specialized text generation based on its fine-tuning. Its primary application is in generating Strudel content, leveraging its modified weights from the fine-tuning process.

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Model Overview

The tensorfiend/tunelm-gemma4-4b-grpo-pilot-20260928-60-final is a 7.9 billion parameter language model based on the Gemma 4B architecture, featuring a 32768 token context length. It is a merged checkpoint, specifically fine-tuned for Strudel generation.

Key Characteristics

  • Base Model: Derived from tensorfiend/tunelm-gemma4-4b-sft-quality-20260927-86-best.
  • Specialized Fine-tuning: The model's weights have been modified through fine-tuning specifically for the task of Strudel generation.
  • Training Details: The fine-tuning process was conducted under the run name gemma4-4b-grpo-pilot, reaching training step 60 with a final checkpoint tag.
  • Performance Metric: Achieved a best evaluation loss of -0.018107524141669273 during its training phase.

Use Cases

This model is particularly suited for applications requiring the generation of "Strudel" content, given its dedicated fine-tuning for this specific task. Developers should consider this model when their primary need is high-quality, specialized text output related to Strudel generation, leveraging its optimized weights and architecture.