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README.md

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+---
+language:
+- en
+- fr
+- de
+- es
+- pt
+- it
+- ja
+- ko
+- ru
+- zh
+- ar
+- fa
+- id
+- ms
+- ne
+- pl
+- ro
+- sr
+- sv
+- tr
+- uk
+- vi
+- hi
+- bn
+license: apache-2.0
+library_name: vllm
+inference: false
+base_model: huihui-ai/Magistral-Small-2506-abliterated
+extra_gated_description: If you want to learn more about how we process your personal
+  data, please read our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
+pipeline_tag: text2text-generation
+tags:
+- chat
+- abliterated
+- uncensored
+- llama-cpp
+- gguf-my-repo
+extra_gated_prompt: '**Usage Warnings**
+
+
+  “**Risk of Sensitive or Controversial Outputs**“: This model’s safety filtering
+  has been significantly reduced, potentially generating sensitive, controversial,
+  or inappropriate content. Users should exercise caution and rigorously review generated
+  outputs.
+
+  “**Not Suitable for All Audiences**:“ Due to limited content filtering, the model’s
+  outputs may be inappropriate for public settings, underage users, or applications
+  requiring high security.
+
+  “**Legal and Ethical Responsibilities**“: Users must ensure their usage complies
+  with local laws and ethical standards. Generated content may carry legal or ethical
+  risks, and users are solely responsible for any consequences.
+
+  “**Research and Experimental Use**“: It is recommended to use this model for research,
+  testing, or controlled environments, avoiding direct use in production or public-facing
+  commercial applications.
+
+  “**Monitoring and Review Recommendations**“: Users are strongly advised to monitor
+  model outputs in real-time and conduct manual reviews when necessary to prevent
+  the dissemination of inappropriate content.
+
+  “**No Default Safety Guarantees**“: Unlike standard models, this model has not undergone
+  rigorous safety optimization. huihui.ai bears no responsibility for any consequences
+  arising from its use.'
+---
+
+# Impulse2000/Magistral-Small-2506-abliterated-Q6_K-GGUF
+This model was converted to GGUF format from [`huihui-ai/Magistral-Small-2506-abliterated`](https://huggingface.co/huihui-ai/Magistral-Small-2506-abliterated) 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/huihui-ai/Magistral-Small-2506-abliterated) for more details on the model.
+
+## 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 Impulse2000/Magistral-Small-2506-abliterated-Q6_K-GGUF --hf-file magistral-small-2506-abliterated-q6_k.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo Impulse2000/Magistral-Small-2506-abliterated-Q6_K-GGUF --hf-file magistral-small-2506-abliterated-q6_k.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 Impulse2000/Magistral-Small-2506-abliterated-Q6_K-GGUF --hf-file magistral-small-2506-abliterated-q6_k.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo Impulse2000/Magistral-Small-2506-abliterated-Q6_K-GGUF --hf-file magistral-small-2506-abliterated-q6_k.gguf -c 2048
+```