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
Upload README.md with huggingface_hub
Browse files
README.md
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---
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base_model: ValiantLabs/Qwen3-8B-Esper3
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datasets:
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- sequelbox/Titanium2.1-DeepSeek-R1
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- sequelbox/Tachibana2-DeepSeek-R1
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- sequelbox/Raiden-DeepSeek-R1
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language:
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- en
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library_name: transformers
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license: apache-2.0
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pipeline_tag: text-generation
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tags:
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- esper
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- esper-3
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- valiant
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- valiant-labs
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- qwen
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- qwen-3
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- qwen-3-8b
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- 8b
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- reasoning
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- code
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- code-instruct
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- python
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- javascript
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- dev-ops
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- jenkins
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- terraform
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- scripting
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- powershell
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- azure
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- aws
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- gcp
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- cloud
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- problem-solving
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- architect
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- engineer
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- developer
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- creative
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- analytical
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- expert
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- rationality
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- conversational
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- chat
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- instruct
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- llama-cpp
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- gguf-my-repo
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---
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# mexicanamerican/Qwen3-8B-Esper3-Q8_0-GGUF
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This model was converted to GGUF format from [`ValiantLabs/Qwen3-8B-Esper3`](https://huggingface.co/ValiantLabs/Qwen3-8B-Esper3) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/ValiantLabs/Qwen3-8B-Esper3) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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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 mexicanamerican/Qwen3-8B-Esper3-Q8_0-GGUF --hf-file qwen3-8b-esper3-q8_0.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 mexicanamerican/Qwen3-8B-Esper3-Q8_0-GGUF --hf-file qwen3-8b-esper3-q8_0.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 mexicanamerican/Qwen3-8B-Esper3-Q8_0-GGUF --hf-file qwen3-8b-esper3-q8_0.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 mexicanamerican/Qwen3-8B-Esper3-Q8_0-GGUF --hf-file qwen3-8b-esper3-q8_0.gguf -c 2048
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```
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