| | --- |
| | license: apache-2.0 |
| | datasets: |
| | - sequelbox/Celestia3-DeepSeek-R1-0528 |
| | base_model: prithivMLmods/SmolLM2-Rethink-360M |
| | library_name: transformers |
| | language: |
| | - en |
| | pipeline_tag: text-generation |
| | tags: |
| | - trl |
| | - text-generation-inference |
| | - r1 |
| | - re-think |
| | - llama-cpp |
| | - gguf-my-repo |
| | --- |
| | |
| | # Triangle104/SmolLM2-Rethink-360M-Q4_K_S-GGUF |
| | This model was converted to GGUF format from [`prithivMLmods/SmolLM2-Rethink-360M`](https://huggingface.co/prithivMLmods/SmolLM2-Rethink-360M) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. |
| | Refer to the [original model card](https://huggingface.co/prithivMLmods/SmolLM2-Rethink-360M) for more details on the model. |
| |
|
| | --- |
| | SmolLM2-Rethink-360M is an experimental lightweight reasoning model trained on the Celestia3-DeepSeek-R1-0528 dataset. Built on top of the SmolLM2-135M-Instruct architecture and scaled to 360M parameters, it is designed to enhance lightweight reasoning, logical deduction, and structured response generation—all while maintaining efficiency for resource-constrained environments. |
| |
|
| | --- |
| | ## Use with llama.cpp |
| | Install llama.cpp through brew (works on Mac and Linux) |
| |
|
| | ```bash |
| | brew install llama.cpp |
| | |
| | ``` |
| | Invoke the llama.cpp server or the CLI. |
| |
|
| | ### CLI: |
| | ```bash |
| | llama-cli --hf-repo Triangle104/SmolLM2-Rethink-360M-Q4_K_S-GGUF --hf-file smollm2-rethink-360m-q4_k_s.gguf -p "The meaning to life and the universe is" |
| | ``` |
| |
|
| | ### Server: |
| | ```bash |
| | llama-server --hf-repo Triangle104/SmolLM2-Rethink-360M-Q4_K_S-GGUF --hf-file smollm2-rethink-360m-q4_k_s.gguf -c 2048 |
| | ``` |
| |
|
| | Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. |
| |
|
| | Step 1: Clone llama.cpp from GitHub. |
| | ``` |
| | git clone https://github.com/ggerganov/llama.cpp |
| | ``` |
| |
|
| | Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux). |
| | ``` |
| | cd llama.cpp && LLAMA_CURL=1 make |
| | ``` |
| | |
| | Step 3: Run inference through the main binary. |
| | ``` |
| | ./llama-cli --hf-repo Triangle104/SmolLM2-Rethink-360M-Q4_K_S-GGUF --hf-file smollm2-rethink-360m-q4_k_s.gguf -p "The meaning to life and the universe is" |
| | ``` |
| | or |
| | ``` |
| | ./llama-server --hf-repo Triangle104/SmolLM2-Rethink-360M-Q4_K_S-GGUF --hf-file smollm2-rethink-360m-q4_k_s.gguf -c 2048 |
| | ``` |
| | |