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README.md
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base_model: carsenk/llama3.2_1b_2025_uncensored_v2
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datasets:
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- mlabonne/FineTome-100k
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- microsoft/orca-math-word-problems-200k
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- m-a-p/CodeFeedback-Filtered-Instruction
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- cognitivecomputations/dolphin-coder
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- PawanKrd/math-gpt-4o-200k
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- V3N0M/Jenna-50K-Alpaca-Uncensored
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- FreedomIntelligence/medical-o1-reasoning-SFT
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- llama-
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#
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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 Novaciano/llama3.2_1b_2025_uncensored_v2-Q5_K_M-GGUF --hf-file llama3.2_1b_2025_uncensored_v2-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 Novaciano/llama3.2_1b_2025_uncensored_v2-Q5_K_M-GGUF --hf-file llama3.2_1b_2025_uncensored_v2-q5_k_m-imat.gguf -c 2048
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```
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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.
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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 Novaciano/llama3.2_1b_2025_uncensored_v2-Q5_K_M-GGUF --hf-file llama3.2_1b_2025_uncensored_v2-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 Novaciano/llama3.2_1b_2025_uncensored_v2-Q5_K_M-GGUF --hf-file llama3.2_1b_2025_uncensored_v2-q5_k_m-imat.gguf -c 2048
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```
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---
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base_model: carsenk/llama3.2_1b_2025_uncensored_v2
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datasets:
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- mlabonne/FineTome-100k
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- microsoft/orca-math-word-problems-200k
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- m-a-p/CodeFeedback-Filtered-Instruction
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- cognitivecomputations/dolphin-coder
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- PawanKrd/math-gpt-4o-200k
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- V3N0M/Jenna-50K-Alpaca-Uncensored
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- FreedomIntelligence/medical-o1-reasoning-SFT
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- openerotica/erotiquant3
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language:
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- en
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- es
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library_name: transformers
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license: llama3.2
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pipeline_tag: text-generation
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tags:
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- llama
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- 1b
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- 4-bit
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- unsloth
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- uncensored
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- llama-3.2
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- llama.cpp
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- gguf
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- inference
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- koboldcpp
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- llama-cpp
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---
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# L3.2 1b SuperUncensored V2
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Los 7 datasets originales por defectos del modelo + el dataset Erotiquant3 de OpenErotica.
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