kth8/LFM2.5-230M-OpenCode-Title-Generator-GGUF overview

---

license: other

license_name: lfm1.0

language:

• en

base_model: kth8/LFM2.5-230M-OpenCode-Title-Generator

datasets:

• kth8/title-generation-10000x

pipeline_tag: text-generation

library_name: transformers

tags:

• sft
• trl
• unsloth
• liquid
• lfm2.5

---

!logo

A supervised fine-tune of unsloth/LFM2.5-230M on the kth8/title-generation-10000x dataset. Supports all 10 languages by the base model: English, Arabic, Chinese, French, German, Italian, Japanese, Korean, Portuguese, Spanish.

Trained with the system prompt used by OpenCode's title agent. OpenCode generate thread title based on the first user message. OpenCode UI can show title up to 100 characters long before being truncated.

Usage example

Point to this model with small_model key in opencode.jsonc config file.

{
  "$schema": "https://opencode.ai/config.json",
  "provider": {
    "title": {
      "npm": "@ai-sdk/openai-compatible",
      "options": {
        "baseURL": "http://127.0.0.1:8080/v1",
        "apiKey": "not-needed"
      },
      "models": {
        "generator": {}
      }
    }
  },
  "small_model": "title/generator"
}

User prompt

Troy's home is 75 meters away from school while Emily's home is 98 meters away from school. Troy and Emily walk to school and back home every day. How much farther does Emily walk to school and back in five days?

Title response

Troy vs Emily five-day school walk distance difference

Training Settings

PEFT

• Rank: 16
• LoRA alpha: 16
• Modules: ["q_proj", "k_proj", "v_proj", "out_proj", "in_proj", "w1", "w2", "w3"]
• Gradient checkpointing: unsloth

SFT

• Epoch: 1
• Batch size: 4
• Gradient Accumulation steps: 4
• Learning rate: 0.0002
• Optimizer: adamw_torch_fused
• Learning rate scheduler: cosine
• Warmup steps: 10
• Weight decay: 0.01

Framework versions

• Unsloth: 2026.9.4
• TRL: 0.23.1
• Transformers: 5.5.0
• Pytorch: 2.10.0+cu128
• Datasets: 4.3.0
• Tokenizers: 0.22.2

License

This model is released under LFM Open License v1.0.