Triangle104/QwQ-32B-Q3_K_L-GGUF
This model was converted to GGUF format from Qwen/QwQ-32B
using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
QwQ is the reasoning model of the Qwen series. Compared with conventional instruction-tuned models, QwQ, which is capable of thinking and reasoning, can achieve significantly enhanced performance in downstream tasks, especially hard problems. QwQ-32B is the medium-sized reasoning model, which is capable of achieving competitive performance against state-of-the-art reasoning models, e.g., DeepSeek-R1, o1-mini.
This repo contains the QwQ 32B model, which has the following features:
-Type: Causal Language Models
-Training Stage: Pretraining & Post-training (Supervised Finetuning and Reinforcement Learning)
-Architecture: transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
-Number of Parameters: 32.5B
-Number of Paramaters (Non-Embedding): 31.0B
-Number of Layers: 64
-Number of Attention Heads (GQA): 40 for Q and 8 for KV
-Context Length: Full 131,072 tokens
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/QwQ-32B-Q3_K_L-GGUF --hf-file qwq-32b-q3_k_l.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo Triangle104/QwQ-32B-Q3_K_L-GGUF --hf-file qwq-32b-q3_k_l.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/QwQ-32B-Q3_K_L-GGUF --hf-file qwq-32b-q3_k_l.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo Triangle104/QwQ-32B-Q3_K_L-GGUF --hf-file qwq-32b-q3_k_l.gguf -c 2048
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