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Schnuckade/LFM-2.5-Coder-2.6B
LFM-2.5-Coder-2.6B is a text generation model from Schnuckade. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
An enhanced, lightweight code-reasoning model built on top of LiquidAI's LFM-2.5-2.6B. Fine-tuned to boost step-by-step reasoning and coding capabilities without sacrificing overall model performance.
Downloads · 30 days
867
33% of all-time downloads
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.safetensors5.4 GB · 76%
From the Hugging Face model README
An enhanced, lightweight code-reasoning model built on top of LiquidAI's LFM-2.5-2.6B. Fine-tuned to boost step-by-step reasoning and coding capabilities without sacrificing overall model performance.
| Feature | Details |
|---|---|
| Developed by | Schnuckade |
| Base Model | LiquidAI/LFM2.5-2.6B |
| Fine-Tuning Framework | Unsloth 🦥 |
| Dataset Used | Banaxi-Tech/Deepseek-V4-Reasoning-Code-2500 |
| License | Apache-2.0 |
| Language | English |
LFM-2.5-Coder-2.6B is a targeted, lightweight fine-tune designed to make the original Liquid AI base model a bit smarter when dealing with code generation and problem-solving.
Q4_K_M) for easy local deployment.from unsloth import FastLanguageModel
model, tokenizer = FastLanguageModel.from_pretrained(
model_name = "Schnuckade/LFM-2.5-Coder-2.6B",
max_seq_length = 2048,
load_in_4bit = True,
)