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--- |
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base_model: MaziyarPanahi/calme-2.1-qwen2-7b |
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datasets: |
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- nvidia/HelpSteer2 |
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- teknium/OpenHermes-2.5 |
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- microsoft/orca-math-word-problems-200k |
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- Open-Orca/SlimOrca |
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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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model_name: calme-2.1-qwen2-7b |
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pipeline_tag: text-generation |
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tags: |
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- chat |
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- qwen |
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- qwen2 |
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- finetune |
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- chatml |
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- OpenHermes-2.5 |
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- HelpSteer2 |
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- Orca |
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- SlimOrca |
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- llama-cpp |
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- gguf-my-repo |
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inference: false |
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model_creator: MaziyarPanahi |
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quantized_by: MaziyarPanahi |
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--- |
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# hellork/calme-2.1-qwen2-7b-IQ4_NL-GGUF |
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This model was converted to GGUF format from [`MaziyarPanahi/calme-2.1-qwen2-7b`](https://huggingface.co/MaziyarPanahi/calme-2.1-qwen2-7b) 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/MaziyarPanahi/calme-2.1-qwen2-7b) 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/calme-2.1-qwen2-7b-IQ4_NL-GGUF --hf-file calme-2.1-qwen2-7b-iq4_nl-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/calme-2.1-qwen2-7b-IQ4_NL-GGUF --hf-file calme-2.1-qwen2-7b-iq4_nl-imat.gguf -c 2048 |
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``` |
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### The Ship's Computer: |
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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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[whisper_dictation](https://github.com/themanyone/whisper_dictation) |
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*Quick start* |
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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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# -ngl option assumes CUDA or othr AI acceleration is available. see docs |
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llama-server --hf-repo hellork/calme-2.1-qwen2-7b-IQ4_NL-GGUF --hf-file calme-2.1-qwen2-7b-iq4_nl-imat.gguf -c 2048 -ngl 17 --port 8888 |
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cd whisper_dictation |
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./whisper_cpp_client.py |
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``` |
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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/calme-2.1-qwen2-7b-IQ4_NL-GGUF --hf-file calme-2.1-qwen2-7b-iq4_nl-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/calme-2.1-qwen2-7b-IQ4_NL-GGUF --hf-file calme-2.1-qwen2-7b-iq4_nl-imat.gguf -c 2048 |
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``` |
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