Duplicate from hellork/DeepSeek-R1-Distill-Qwen-7B-IQ3_XXS-GGUF

Co-authored-by: Henry Kroll III <hellork@users.noreply.huggingface.co>

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README.md

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+---
+base_model: unsloth/DeepSeek-R1-Distill-Qwen-7B
+language:
+- en
+license: apache-2.0
+library_name: transformers
+tags:
+- deepseek
+- qwen
+- qwen2
+- unsloth
+- transformers
+- llama-cpp
+- gguf-my-repo
+---
+
+# TESTING...TESTING! The quantization used on this model may reduce quality, but it is hopefully faster, and maybe usable with 4GB VRAM. TESTING...
+
+So far so good! We were able to use all 29 layers with `-ngl 29` and it reserves less than 3.5GiB of VRAM with `-c 2048` context window. Quite usable.
+Use the `llama-server` and navigate to the web interface at http://127.0.0.1:8080 for best results. Happy AI.
+
+# hellork/DeepSeek-R1-Distill-Qwen-7B-IQ3_XXS-GGUF
+This model was converted to GGUF format from [`unsloth/DeepSeek-R1-Distill-Qwen-7B`](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-7B) 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/unsloth/DeepSeek-R1-Distill-Qwen-7B) for more details on the model.
+
+# Usage Recommendations
+
+We recommend adhering to the following configurations when utilizing the DeepSeek-R1 series models, including benchmarking, to achieve the expected performance:
+
+  Set the temperature within the range of 0.5-0.7 (0.6 is recommended) to prevent endless repetitions or incoherent outputs.
+  Avoid adding a system prompt; all instructions should be contained within the user prompt.
+  For mathematical problems, it is advisable to include a directive in your prompt such as: "Please reason step by step, and put your final answer within \boxed{}."
+  When evaluating model performance, it is recommended to conduct multiple tests and average the results.
+
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+
+```bash
+brew install llama.cpp
+
+```
+
+# Or compile it to take advantage of `Nvidia CUDA` hardware:
+
+```bash
+git clone https://github.com/ggerganov/llama.cpp.git
+cd llama*
+# look at docs for other hardware builds or to make sure none of this has changed.
+
+cmake -B build -DGGML_CUDA=ON
+CMAKE_ARGS="-DGGML_CUDA=on" cmake --build build --config Release # -j6 (optional: use a number less than the number of cores)
+
+# If your version of gcc is > 12 and it gives errors, use conda to install gcc-12 and activate it.
+# Run the above cmake commands again.
+# Then run conda deactivate and re-run the last line once more to link the build outside of conda.
+
+# Add the -ngl 33 flag to the commands below to take advantage of all the GPU layers.
+# If that uses too much GPU and crashes, use some lower number.
+```
+
+Invoke the llama.cpp server or the CLI.
+
+### CLI:
+```bash
+llama-cli --hf-repo hellork/DeepSeek-R1-Distill-Qwen-7B-IQ3_XXS-GGUF --hf-file deepseek-r1-distill-qwen-7b-iq3_xxs-imat.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo hellork/DeepSeek-R1-Distill-Qwen-7B-IQ3_XXS-GGUF --hf-file deepseek-r1-distill-qwen-7b-iq3_xxs-imat.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 hellork/DeepSeek-R1-Distill-Qwen-7B-IQ3_XXS-GGUF --hf-file deepseek-r1-distill-qwen-7b-iq3_xxs-imat.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo hellork/DeepSeek-R1-Distill-Qwen-7B-IQ3_XXS-GGUF --hf-file deepseek-r1-distill-qwen-7b-iq3_xxs-imat.gguf -c 2048
+```

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