README.md

---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- transformers
- llama-cpp
- gguf-my-repo
base_model: openlm-research/open_llama_3b
datasets:
- mwitiderrick/AlpacaCode
inference: true
model_type: llama
prompt_template: '### Instruction:\n

  {prompt}

  ### Response:

  '
created_by: mwitiderrick
pipeline_tag: text-generation
model-index:
- name: mwitiderrick/open_llama_3b_instruct_v_0.2
  results:
  - task:
      type: text-generation
    dataset:
      name: hellaswag
      type: hellaswag
    metrics:
    - type: hellaswag (0-Shot)
      value: 0.6581
      name: hellaswag(0-Shot)
  - task:
      type: text-generation
    dataset:
      name: winogrande
      type: winogrande
    metrics:
    - type: winogrande (0-Shot)
      value: 0.6267
      name: winogrande(0-Shot)
  - task:
      type: text-generation
    dataset:
      name: arc_challenge
      type: arc_challenge
    metrics:
    - type: arc_challenge (0-Shot)
      value: 0.3712
      name: arc_challenge(0-Shot)
    source:
      url: https://huggingface.co/mwitiderrick/open_llama_3b_instruct_v_0.2
      name: open_llama_3b_instruct_v_0.2 model card
---

# DavidAU/open_llama_3b_code_instruct_0.1-Q6_K-GGUF
This model was converted to GGUF format from [`mwitiderrick/open_llama_3b_code_instruct_0.1`](https://huggingface.co/mwitiderrick/open_llama_3b_code_instruct_0.1) 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/mwitiderrick/open_llama_3b_code_instruct_0.1) 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 DavidAU/open_llama_3b_code_instruct_0.1-Q6_K-GGUF --model open_llama_3b_code_instruct_0.1.Q6_K.gguf -p "The meaning to life and the universe is"
```

Server:

```bash
llama-server --hf-repo DavidAU/open_llama_3b_code_instruct_0.1-Q6_K-GGUF --model open_llama_3b_code_instruct_0.1.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 open_llama_3b_code_instruct_0.1.Q6_K.gguf -n 128
```