gemma4-thinking-v1-f16

This repository contains an experimental local-use checkpoint created to test whether a Gemma-family model could be adapted for more structured assistant behavior, including better tool-use formatting and optional visible reasoning traces in local runtimes. The work here was done as a practical engineering experiment rather than as a benchmarked production release [cite:346][cite:348].

The main goals were to: (1) fine-tune the model on custom instruction data, (2) fuse and export the resulting checkpoint into GGUF for local inference, and (3) verify that it could run inside tools such as Ollama and LM Studio with explicit thinking behavior enabled when supported by the runtime [file:300][file:301].

Model details

• Model name: gemma4-thinking-v1-f16
• Model type: Experimental text generation model for local inference and testing [cite:346][cite:348]
• Base model: Gemma-family checkpoint with architecture detected as Gemma4ForConditionalGeneration during conversion [file:300][file:301]
• Primary artifact in local testing: F16 GGUF export for Ollama / LM Studio workflows [file:301]
• Languages: Primarily English
• Release status: Test-only, experimental, not intended as a polished public benchmark model [cite:348][cite:353]

Why this was made

This model was built to explore whether a local Gemma-family model could be nudged toward more “flagship-style” assistant behavior through fine-tuning and runtime prompting, especially for structured responses, tool-oriented behavior, and better reasoning-style outputs in local serving stacks [file:299][file:301].

A second goal was deployment practicality. The work included converting the fused checkpoint into GGUF and validating that it could be imported into LM Studio and packaged successfully for Ollama, since local usability was a key part of the experiment [file:301].

What was done

The workflow included environment setup, fine-tuning, model fusion, GGUF conversion, and local runtime validation. During setup, Python package management issues were encountered in a system-managed environment, which led to working in a dedicated virtual environment for the conversion stack [file:299].

During GGUF conversion, an initial tokenizer-related failure occurred: the converter hit an AttributeError: 'list' object has no attribute 'keys' while processing tokenizer special tokens for the Gemma-family checkpoint [file:300]. That issue was resolved by upgrading the conversion environment packages, including transformers, tokenizers, sentencepiece, and gguf, after which the converter completed successfully and exported the model [file:301].

The successful conversion produced a GGUF artifact at ~/models/gemma4-thinking-v1-f16.gguf. The logs show the model architecture as Gemma4ForConditionalGeneration, a context length of 131072, an embedding length of 2560, head count 8, key-value head count 2, and successful GGUF writing after the package upgrades [file:300][file:301].

After conversion, the GGUF was imported into LM Studio and also packaged successfully in Ollama via a Modelfile. Once the local packaging issues were resolved, Ollama was able to run the model and produce visible <think>...</think> traces when invoked with explicit thinking enabled [file:301][web:336][web:339].

Intended use

This repository is intended for:

• Testing local inference behavior.
• Evaluating prompt and template behavior in Ollama or LM Studio.
• Checking whether custom fine-tuning improves structured assistant behavior.
• Experimenting with visible reasoning traces in runtimes that support thinking mode [web:336][web:339].

Out-of-scope use

This repository is not intended for:

• Production deployments.
• Safety-critical or high-stakes decision making.
• Claims of state-of-the-art reasoning quality.
• Use as a benchmarked flagship model replacement.
• Any setting where formal evaluation, red-teaming, or reliability guarantees are required [cite:348][cite:353].

Training and conversion notes

The available logs in this project mainly document the environment, conversion, and deployment workflow rather than a polished full training report. They show the install and dependency steps, the failed conversion attempt, the upgraded conversion stack, and the successful GGUF export and local runtime testing [file:299][file:300][file:301].

Because this release is experimental, some details that would normally appear in a production model card are still incomplete, including formal benchmark scores, systematic human evaluation, and a finalized public training dataset description. Hugging Face recommends documenting these items when available, so they should be added in future revisions if this repository evolves beyond testing [cite:346][cite:348][cite:353].

Local usage

Ollama

Create a Modelfile in the same directory as the GGUF file:

FROM ./gemma4-thinking-v1-f16.gguf

SYSTEM """
You are a deep reasoning assistant.
For hard problems, first write your reasoning inside <think>...</think>.
Then provide a concise final answer.
"""

Then run:

ollama create gemma4thinkingv1 -f Modelfile
ollama run gemma4thinkingv1 --think "can you think longer to get help in rust"

In local testing, this setup successfully created the model in Ollama and produced visible <think> blocks when thinking mode was explicitly enabled [file:301][web:336][web:339].

LM Studio

The GGUF artifact was also imported into LM Studio by manually specifying the creator and model name when automatic Hugging Face lookup did not find a matching repo from the filename alone [file:301]. This confirms that the exported GGUF can be used for local testing in LM Studio as well [file:301].

Limitations

This model card should be read as documentation for an experiment, not as a mature release. The model has not been fully benchmarked, the training recipe is not yet documented to publication standard, and the visible reasoning behavior depends partly on the runtime and prompt template rather than on weights alone [cite:346][cite:348][web:339].

The logs also show some conversion warnings, including duplicated GGUF metadata keys and an unknown RoPE type warning, although these did not prevent successful export in the final run [file:300][file:301]. Users should therefore treat this artifact as a test checkpoint and validate it carefully in their own environment [file:301][cite:353].

Safety

This checkpoint has not undergone comprehensive safety evaluation, adversarial testing, or domain-specific validation. It should not be used in medical, legal, financial, or other high-risk settings, and it should not be assumed to have reliable refusal behavior, calibrated reasoning, or production-grade robustness [cite:348][cite:353].

What to improve next

Recommended next steps for this repository are:

1. Add the exact base model identifier and license information.
2. Document the fine-tuning dataset and preprocessing pipeline in detail.
3. Add formal evaluations for tool use, instruction following, and reasoning quality.
4. Provide tested prompts and runtime settings for Ollama and LM Studio.
5. Clarify whether this repository should host only GGUF artifacts or also the fused Transformers checkpoint [cite:346][cite:348][cite:353].

Disclaimer

This is a personal experimental release for testing and iteration. It exists to document what was built, why it was built, and how it was run locally. It should be treated as a work-in-progress model card for an unfinished research and engineering experiment, not as a finished public model release [cite:346][cite:348][cite:353].