README.md

---
language:
- en
license: apache-2.0
tags:
- llama-cpp
- gguf-my-repo
base_model: alpindale/Mistral-7B-v0.2-hf
datasets:
- cognitivecomputations/dolphin
- cognitivecomputations/dolphin-coder
- cognitivecomputations/samantha-data
- jondurbin/airoboros-2.2.1
- teknium/openhermes-2.5
- m-a-p/Code-Feedback
- m-a-p/CodeFeedback-Filtered-Instruction
model-index:
- name: dolphin-2.8-mistral-7b-v02
  results:
  - task:
      type: text-generation
    dataset:
      name: HumanEval
      type: openai_humaneval
    metrics:
    - type: pass@1
      value: 0.469
      name: pass@1
      verified: false
---

# newsletter/dolphin-2.8-mistral-7b-v02-Q6_K-GGUF
This model was converted to GGUF format from [`cognitivecomputations/dolphin-2.8-mistral-7b-v02`](https://huggingface.co/cognitivecomputations/dolphin-2.8-mistral-7b-v02) 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/cognitivecomputations/dolphin-2.8-mistral-7b-v02) 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/dolphin-2.8-mistral-7b-v02-Q6_K-GGUF --model dolphin-2.8-mistral-7b-v02.Q6_K.gguf -p "The meaning to life and the universe is"
```

Server:

```bash
llama-server --hf-repo newsletter/dolphin-2.8-mistral-7b-v02-Q6_K-GGUF --model dolphin-2.8-mistral-7b-v02.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 dolphin-2.8-mistral-7b-v02.Q6_K.gguf -n 128
```