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Model: mkurman/LiquidAI-LFM2.5-350M-SYNTH Source: Original Platform
2026-09-14 15:16:18 +08:00
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+---
+base_model:
+- LiquidAI/LFM2.5-350M
+library_name: transformers
+license: other
+license_name: lfm1.0
+license_link: LICENSE
+pipeline_tag: text-generation
+language:
+- en
+tags:
+- synth
+- synthlabs
+- lfm
+- lfm2
+- reasoning
+- text-generation
+datasets:
+- PleIAs/SYNTH
+- mkurman/medical-reasoning-synthlabs-I
+- mkurman/gsm8k-SynthLabs-reasoning
+---
+
+# LFM2.5-350M-SYNTH
+
+A 350M-parameter **reasoning** model fine-tuned from [LiquidAI/LFM2.5-350M](https://huggingface.co/LiquidAI/LFM2.5-350M) on
+synthetic reasoning data. It produces explicit chain-of-thought (`<think> … </think>`) before answering, and is small enough
+to run on CPU or modest GPUs while retaining the base model's 128k context window.
+
+## Highlights
+
+- **Reasoning-first**: trained on SynthLabs-style traces for math, medical, and general reasoning.
+- **Compact & fast**: 350M params on the hybrid **LFM2** architecture (convolution + sparse full-attention blocks), bf16.
+- **Long context**: inherits the base model's 128k `max_position_embeddings`.
+- **Chat + tools**: ChatML format with native tool-calling special tokens.
+
+## Model details
+
+```
+                │                                                  │          │         │        │
+────────────────┼──────────────────────────────────────────────────┼──────────┼─────────┼────────┼────
+Base model      │ LiquidAI/LFM2.5-350M                             │          │         │        │
+Architecture    │ `Lfm2ForCausalLM` (hybrid conv / full-attention) │          │         │        │
+Parameters      │ ~350M                                            │          │         │        │
+Hidden size     │ 1024                                             │          │         │        │
+Layers          │ 16 (12 conv + 4 full-attention)                  │          │         │        │
+Attention heads │ 16 (8 KV heads, GQA)                             │          │         │        │
+Vocab size      │ 65,536                                           │          │         │        │
+Context length  │ 128,000                                          │          │         │        │
+Precision       │ bfloat16                                         │          │         │        │
+Chat format     │ ChatML (`<                                       │ im_start │ >` / `< │ im_end │ >`)
+```
+## Training
+
+Fully fine-tuned for 4,000 steps on a single A100:
+
+- Sequence length: 2,048
+- Effective batch size: 64
+- Optimizer: AdamW, LR 5e-5, warmup ratio 0.03
+- Precision: bf16
+
+Datasets
+
+- PleIAs/SYNTH (https://huggingface.co/datasets/PleIAs/SYNTH)
+- mkurman/medical-reasoning-synthlabs-I (https://huggingface.co/datasets/mkurman/medical-reasoning-synthlabs-I)
+- mkurman/gsm8k-SynthLabs-reasoning (https://huggingface.co/datasets/mkurman/gsm8k-SynthLabs-reasoning)
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_id = "mkurman/LiquidAI-LFM2.5-350M-SYNTH"
+tok = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, dtype=torch.bfloat16, device_map="auto")
+
+messages = [{"role": "user", "content": "Natalia sold 48 clips in April and half as many in May. How many in total?"}]
+inputs = tok.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
+
+out = model.generate(inputs, max_new_tokens=512, do_sample=True, temperature=0.6, top_p=0.95)
+print(tok.decode(out[0][inputs.shape[-1]:], skip_special_tokens=True))
+```
+
+The model emits its reasoning inside <think> … </think> followed by the final answer.
+
+## Evaluation
+
+TODO
+
+## Intended use & limitations
+
+Research and experimentation with small reasoning models. As a 350M model trained largely on synthetic data, it can
+hallucinate and make reasoning errors. Not intended for medical, legal, or other high-stakes decisions - outputs must be
+independently verified.
+
+## License
+
+Released under the LFM Open License (lfm1.0); see LICENSE (LICENSE).
+
+## Citation
+
+```bibtex
+@misc{kurman2025lfm25synth,
+  title  = {LFM2.5-350M-SYNTH},
+  author = {Kurman, Mariusz},
+  year   = {2026},
+  url    = {https://huggingface.co/mkurman/LiquidAI-LFM2.5-350M-SYNTH}
+}
+```