Create README.md

README.md

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+---
+license: other
+license_name: lfm-nanotron-prism-research
+license_link: LICENSE.md
+language:
+- en
+tags:
+- lfm
+- prism
+- gspo
+- hybrid-architecture
+- tool-use
+- Thinking
+pipeline_tag: text-generation
+library_name: transformers
+gated: true
+extra_gated_heading: >-
+  Request Access to lfm-Nanotron (A tiny 2.6B-PRISM-SFT-GSPO-W2A16 RL trained
+  model with enhanced capabilities for agentic multi-turn tool calling,
+  thinking, and instruction following)
+extra_gated_description: >
+  After completing your support donation at https://ko-fi.com/s/b0511b3815,
+  submit the access request at https://huggingface.co/Ex0bit/lfm-Nanotron to
+  receive automatic access to this limited edition model. Please provide your
+  information below. Access will be granted automatically after submission.
+extra_gated_prompt: |
+  By requesting access, you agree to:
+  - Use this model for research or educational purposes only
+  - Not redistribute the model weights without explicit permission  
+  - Cite this work appropriately in any publications
+  - Report any issues or safety concerns to the author
+extra_gated_fields:
+  Full Name: text
+  Organization/Affiliation: text
+  Country: country
+  Intended Use:
+    type: select
+    options:
+    - Research
+    - Education
+    - Personal
+    - label: Commercial (requires separate license)
+      value: commercial
+    - label: Other
+      value: other
+  Brief description of your intended use case: text
+  I agree to the terms of use: checkbox
+extra_gated_button_content: Agree and Request Access
+---
+
+
+
+![image](https://cdn-uploads.huggingface.co/production/uploads/63adf1fa42fd3b8dbaeb0c92/9RwVQ2zsEqvFDNaGkOBTO.png)
+
+# lfm-Nanotron: 2.6B PRISM-SFT-GSPO-WA216
+
+<div align="center">
+
+** LFM Architeture model SFT + GSPO RL + PRISM **
+
+[![Model](https://img.shields.io/badge/Model-2.6B-blue)]()
+[![Architecture](https://img.shields.io/badge/Architecture-LFM2%20Hybrid-green)]()
+[![Context](https://img.shields.io/badge/Context-128K-orange)]()
+
+</div>
+
+## Model Description
+
+
+**lfm-Nanotron**: Limited Edition 2.6B PRISM Model Access
+Unlock a cutting-edge Nano sized AI model.
+
+
+This is **lfm-Nanotron** — A Nano Sized 2.6B parameter hybrid architecture language model fine-tuned with advanced techniques you won't find in mainstream releases:
+- SFT (Test-Time Supervised-Fine-Tuning) — Adaptive optimization at inference
+- GSPO (Group Sequence Policy Optimization) — RL Enhanced reasoning, Instruction following, thinking, tool calling & logic
+- PRISM (Projected Refusal Isolation via Subspace Modification) — State-of-the-art over-refusal/propaganda removal from LLMs
+- 128K Context Window — Handle massive prompts with ease
+- Agentic Tool Calling — Built for multi-turn, thinking, and instruction-following tasks
+
+### Architecture Details
+
+| Parameter | Value |
+|-----------|-------|
+| Parameters | ~2.6B |
+| Hidden Size | 2048 |
+| Layers | 30 (22 Conv + 8 Full Attention) |
+| Attention Heads | 32 |
+| KV Heads | 8 (GQA) |
+| Vocabulary | 65,536 |
+| Max Context | 128,000 tokens |
+| Architecture | Hybrid Conv + Attention (LFM2) |
+
+### Available Quantizations
+
+| File | Quantization | Size | Use Case |
+|------|-------------|------|----------|
+| `lfm2-nanotron-ttft-gspo-prism-bf16.gguf` | BF16 | ~4.8GB | Full precision, best quality |
+| `lfm2-nanotron-ttft-gspo-prism-Q4_K_M.gguf` | Q4_K_M | ~1.5GB | Balanced quality/size |
+| `lfm2-nanotron-ttft-gspo-prism-Q2_K.gguf` | Q2_K | ~0.9GB | Maximum compression |
+
+## Usage
+
+### With llama.cpp
+
+```bash
+./llama-cli -m lfm2-nanotron-ttft-gspo-prism-Q4_K_M.gguf -p "Your prompt here" --temp 0.3 --min-p 0.15 --repeat-penalty 1.05
+```
+
+### Recommended Generation Parameters
+
+```json
+{
+  "temperature": 0.3,
+  "min_p": 0.15,
+  "repeat_penalty": 1.05
+}
+```
+
+## Citation
+
+If you use this model in your research, please cite:
+
+```bibtex
+@misc{lfm2-nanotron-2026,
+  title={lfm2-Nanotron: Test-Time Fine-Tuned LFM2 with GSPO+PRISM},
+  author={Exobit (Eric Elbaz)},
+  year={2026},
+  publisher={Hugging Face},
+  url={https://huggingface.co/Ex0bit/lfm2-Nanotron}
+}
+```
+
+## License
+
+This model is released under a custom research license. See LICENSE.md for details.
+
+## Acknowledgments
+
+-  [@mlabonne](https://huggingface.co/mlabonne) & [@liquidai](https://huggingface.co/LiquidAI) for the LFM2 architecture
+-  [@anakin87](https://huggingface.co/anakin87) for inspiring the idea
+- The open-source AI community