How to use from
Unsloth StudioInstall Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for fieldvalley-llm2025/main_rev2_sft05 to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for fieldvalley-llm2025/main_rev2_sft05 to start chattingLoad model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="fieldvalley-llm2025/main_rev2_sft05",
max_seq_length=2048,
)Quick Links
main_rev2_sft05
This is a Safe SFT LoRA adapter (REV2 SFT05). It uses Completion-only Training and TOML Refinement Filtering.
Base Model
Qwen/Qwen3-4B-Instruct-2507
Training Data (Mixed 65:35, TOML <= 10%)
- 65%: daichira/structured-hard-sft-4k (Filtered + Refined TOML)
- 35%: u-10bei/structured_data_with_cot_dataset_512_v4 (Filtered + Refined TOML)
TOML Refinement Applied
- Eliminated YAML-like lists, Big Arrays, Log keywords.
- Enforced valid TOML syntax (toml.loads).
- Controlled TOML Ratio to max 10% of total dataset.
Method
- Completion-only: User prompts are masked.
- Marker: `
OUTPUT
`.
- Config: 1 Epoch, Max Seq Length 4096.
- Downloads last month
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Model tree for fieldvalley-llm2025/main_rev2_sft05
Base model
Qwen/Qwen3-4B-Instruct-2507
Install Unsloth Studio (macOS, Linux, WSL)
# Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for fieldvalley-llm2025/main_rev2_sft05 to start chatting