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agurung/
flawed-fictions-gemma-3-4b-litereason-sft-positive

Name: flawed-fictions-gemma-3-4b-litereason-sft-positive
Availability: InStock

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Flawed Fictions Gemma 3 4B LiteReason SFT (positive)

Projector SFT checkpoint trained on the positive-only Flawed Fictions implicit-thought dataset. This upload preserves the full base LM weights plus LiteReason reasoning_projector weights in the safetensors file.

This checkpoint uses the Gemma 3 multimodal architecture but was trained for text-only Flawed Fictions reasoning.

Training Details

Base model: google/gemma-3-4b-it
Dataset variant: positive (gold-label Yes subset only)
Dataset/prep label in local artifacts: twenty_five_percent_masked
W&B run: chaw3v7h
Source checkpoint directory: /mnt/disk/litereason_anon/litereason/experiments/flawed_fictions/outputs/sft_gemma3_4b_positive

What Is Saved

Full Hugging Face model weights
LiteReason reasoning_projector.* weights embedded in the uploaded safetensors
config.json with is_litereason_model=true, litereason_num_reasoning_layers=3, and litereason_max_reasoning_steps=5
Tokenizer / chat template files needed for reload

Usage

python

from litereason.causal_lm_with_reasoning import AutoModelForCausalLMWithReasoning

model = AutoModelForCausalLMWithReasoning.from_pretrained(
    "agurung/flawed-fictions-gemma-3-4b-litereason-sft-positive",
    device_map="auto",
    torch_dtype="auto",
)