Text Generation
Transformers
GGUF
English
esper
esper-3
valiant
valiant-labs
qwen
qwen-3
qwen-3-8b
8b
reasoning
code
code-instruct
python
javascript
dev-ops
jenkins
terraform
scripting
powershell
azure
aws
gcp
cloud
problem-solving
architect
engineer
developer
creative
analytical
expert
rationality
conversational
chat
instruct
llama-cpp
gguf-my-repo
mexicanamerican/Qwen3-8B-Esper3-Q4_K_M-GGUF
This model was converted to GGUF format from ValiantLabs/Qwen3-8B-Esper3
using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
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 mexicanamerican/Qwen3-8B-Esper3-Q4_K_M-GGUF --hf-file qwen3-8b-esper3-q4_k_m.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo mexicanamerican/Qwen3-8B-Esper3-Q4_K_M-GGUF --hf-file qwen3-8b-esper3-q4_k_m.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 mexicanamerican/Qwen3-8B-Esper3-Q4_K_M-GGUF --hf-file qwen3-8b-esper3-q4_k_m.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo mexicanamerican/Qwen3-8B-Esper3-Q4_K_M-GGUF --hf-file qwen3-8b-esper3-q4_k_m.gguf -c 2048
- Downloads last month
- 7
Hardware compatibility
Log In
to view the estimation
4-bit
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support