README.md

---
license: wtfpl
library_name: transformers
tags:
- code
- llama-cpp
- gguf-my-repo
metrics:
- code_eval
model-index:
- name: WizardCoder
  results:
  - task:
      type: text-generation
    dataset:
      name: HumanEval
      type: openai_humaneval
    metrics:
    - type: pass@1
      value: 0.799
      name: pass@1
      verified: false
---

# newsletter/wizardcoder-33b-v1.1-mirror-Q6_K-GGUF
This model was converted to GGUF format from [`ChuckMcSneed/wizardcoder-33b-v1.1-mirror`](https://huggingface.co/ChuckMcSneed/wizardcoder-33b-v1.1-mirror) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/ChuckMcSneed/wizardcoder-33b-v1.1-mirror) for more details on the model.
## Use with llama.cpp
Install llama.cpp through brew.
```bash
brew install ggerganov/ggerganov/llama.cpp
```
Invoke the llama.cpp server or the CLI.
CLI:
```bash
llama-cli --hf-repo newsletter/wizardcoder-33b-v1.1-mirror-Q6_K-GGUF --model wizardcoder-33b-v1.1-mirror-q6_k.gguf -p "The meaning to life and the universe is"
```
Server:
```bash
llama-server --hf-repo newsletter/wizardcoder-33b-v1.1-mirror-Q6_K-GGUF --model wizardcoder-33b-v1.1-mirror-q6_k.gguf -c 2048
```
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.
```
git clone https://github.com/ggerganov/llama.cpp && \
cd llama.cpp && \
make && \
./main -m wizardcoder-33b-v1.1-mirror-q6_k.gguf -n 128
```