Triangle104/cogito-v1-preview-qwen-14B-Q4_K_S-GGUF

This model was converted to GGUF format from deepcogito/cogito-v1-preview-qwen-14B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

---

The Cogito LLMs are instruction tuned generative models (text in/text out). All models are released under an open license for commercial use.

-Cogito models are hybrid reasoning models. Each model can answer directly (standard LLM), or self-reflect before answering (like reasoning models).

-The LLMs are trained using Iterated Distillation and Amplification (IDA) - an scalable and efficient alignment strategy for superintelligence using iterative self-improvement.

-The models have been optimized for coding, STEM, instruction following and general helpfulness, and have significantly higher multilingual, coding and tool calling capabilities than size equivalent counterparts.

--In both standard and reasoning modes, Cogito v1-preview models outperform their size equivalent counterparts on common industry benchmarks.

Each model is trained in over 30 languages and supports a context length of 128k.

---

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo Triangle104/cogito-v1-preview-qwen-14B-Q4_K_S-GGUF --hf-file cogito-v1-preview-qwen-14b-q4_k_s.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/cogito-v1-preview-qwen-14B-Q4_K_S-GGUF --hf-file cogito-v1-preview-qwen-14b-q4_k_s.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps 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 Triangle104/cogito-v1-preview-qwen-14B-Q4_K_S-GGUF --hf-file cogito-v1-preview-qwen-14b-q4_k_s.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Triangle104/cogito-v1-preview-qwen-14B-Q4_K_S-GGUF --hf-file cogito-v1-preview-qwen-14b-q4_k_s.gguf -c 2048