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license: llama2
metrics:
- code_eval
library_name: transformers
tags:
- code
- llama-cpp
- gguf-my-repo
base_model: WizardLMTeam/WizardCoder-Python-34B-V1.0
model-index:
- name: WizardCoder-Python-34B-V1.0
results:
- task:
type: text-generation
dataset:
name: HumanEval
type: openai_humaneval
metrics:
- type: pass@1
value: 0.732
name: pass@1
verified: false
---
# tsqn/WizardCoder-Python-34B-V1.0-Q5_K_M-GGUF
This model was converted to GGUF format from [`WizardLMTeam/WizardCoder-Python-34B-V1.0`](https://huggingface.co/WizardLMTeam/WizardCoder-Python-34B-V1.0) 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/WizardLMTeam/WizardCoder-Python-34B-V1.0) for more details on the model.
## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
```bash
brew install llama.cpp
```
Invoke the llama.cpp server or the CLI.
### CLI:
```bash
llama-cli --hf-repo tsqn/WizardCoder-Python-34B-V1.0-Q5_K_M-GGUF --hf-file wizardcoder-python-34b-v1.0-q5_k_m.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo tsqn/WizardCoder-Python-34B-V1.0-Q5_K_M-GGUF --hf-file wizardcoder-python-34b-v1.0-q5_k_m.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.
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 tsqn/WizardCoder-Python-34B-V1.0-Q5_K_M-GGUF --hf-file wizardcoder-python-34b-v1.0-q5_k_m.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo tsqn/WizardCoder-Python-34B-V1.0-Q5_K_M-GGUF --hf-file wizardcoder-python-34b-v1.0-q5_k_m.gguf -c 2048
```
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