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---
base_model: unsloth/gemma-3-270m-it
tags:
- text-generation-inference
- transformers
- unsloth
- gemma3_text
- trl
license: apache-2.0
language:
- en
---
# Uploaded model
- **Developed by:** Nonovogo
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-3-270m-it
Use
```
text = tokenizer.apply_chat_template(
messages,
tokenize = False,
add_generation_prompt = True
).removeprefix('<bos>')
# This forces the model to enter "thinking mode" immediately.
text += "<think>\n"
# 3. Generate
_ = model.generate(
**tokenizer(text, return_tensors="pt").to("cuda"),
max_new_tokens=2048, # Don't let it ramble forever
# --- STABILITY SETTINGS ---
do_sample=True, # Enable sampling to break deterministic loops
temperature=0.1, # Very low temp (focused) but not zero
top_p=0.95, # Standard filtering
repetition_penalty=1.0, # CRITICAL: Disable penalty (1.0 = no penalty)
streamer=TextStreamer(tokenizer, skip_prompt=True),
eos_token_id=tokenizer.eos_token_id # Ensure it knows when to stop
)
```
For better output
- This gemma3_text model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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