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--- |
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base_model: HuggingFaceTB/SmolLM-1.7B-Instruct |
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datasets: |
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- Magpie-Align/Magpie-Pro-300K-Filtered |
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- bigcode/self-oss-instruct-sc2-exec-filter-50k |
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- teknium/OpenHermes-2.5 |
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- HuggingFaceTB/everyday-conversations-llama3.1-2k |
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language: |
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- en |
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library_name: transformers |
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license: apache-2.0 |
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tags: |
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- alignment-handbook |
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- trl |
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- sft |
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- llama-cpp |
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- gguf-my-repo |
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--- |
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# hellork/SmolLM-1.7B-Instruct-Q5_K_M-GGUF |
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This model was converted to GGUF format from [`HuggingFaceTB/SmolLM-1.7B-Instruct`](https://huggingface.co/HuggingFaceTB/SmolLM-1.7B-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. |
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Refer to the [original model card](https://huggingface.co/HuggingFaceTB/SmolLM-1.7B-Instruct) for more details on the model. |
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## Use with llama.cpp |
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Install llama.cpp through brew (works on Mac and Linux) |
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```bash |
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brew install llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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### CLI: |
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```bash |
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llama-cli --hf-repo hellork/SmolLM-1.7B-Instruct-Q5_K_M-GGUF --hf-file smollm-1.7b-instruct-q5_k_m-imat.gguf -p "The meaning to life and the universe is" |
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``` |
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### Server: |
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```bash |
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llama-server --hf-repo hellork/SmolLM-1.7B-Instruct-Q5_K_M-GGUF --hf-file smollm-1.7b-instruct-q5_k_m-imat.gguf -c 2048 |
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``` |
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### The Ship's Computer: |
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[whisper_dictation](https://github.com/themanyone/whisper_dictation) |
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Interact with this model by speaking to it. Lean, fast, & private, networked speech to text, AI images, multi-modal voice chat, control apps, webcam, and sound with less than 4GiB of VRAM. |
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```bash |
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git clone -b main --single-branch https://github.com/themanyone/whisper_dictation.git |
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pip install -r whisper_dictation/requirements.txt |
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git clone https://github.com/ggerganov/whisper.cpp |
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cd whisper.cpp |
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GGML_CUDA=1 make -j # assuming CUDA is available. see docs |
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ln -s server ~/.local/bin/whisper_cpp_server # (just put it somewhere in $PATH) |
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whisper_cpp_server -l en -m models/ggml-tiny.en.bin --port 7777 |
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cd whisper_dictation |
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./whisper_cpp_client.py |
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``` |
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See [the docs](https://github.com/themanyone/whisper_dictation) for tips on integrating with llama.cpp server, enabling the computer to talk back, draw AI images, carry out voice commands, and other features. |
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### Install Llama.cpp via git: |
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Step 1: Clone llama.cpp from GitHub. |
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``` |
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git clone https://github.com/ggerganov/llama.cpp |
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``` |
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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). |
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``` |
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cd llama.cpp && LLAMA_CURL=1 make |
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``` |
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Step 3: Run inference through the main binary. |
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``` |
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./llama-cli --hf-repo hellork/SmolLM-1.7B-Instruct-Q5_K_M-GGUF --hf-file smollm-1.7b-instruct-q5_k_m-imat.gguf -p "The meaning to life and the universe is" |
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``` |
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or |
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``` |
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./llama-server --hf-repo hellork/SmolLM-1.7B-Instruct-Q5_K_M-GGUF --hf-file smollm-1.7b-instruct-q5_k_m-imat.gguf -c 2048 |
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``` |
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