README.md

---
base_model: KOCDIGITAL/Kocdigital-LLM-8b-v0.1
language:
- tr
license: llama3
tags:
- llama-cpp
- gguf-my-repo
model-index:
- name: Kocdigital-LLM-8b-v0.1
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge TR
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc
      value: 44.03
      name: accuracy
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag TR
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc
      value: 46.73
      name: accuracy
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU TR
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 49.11
      name: accuracy
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA TR
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: acc
      value: 48.21
      name: accuracy
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande TR
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc
      value: 54.98
      name: accuracy
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k TR
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 51.78
      name: accuracy
---

# serkandyck/Kocdigital-LLM-8b-v0.1-Q4_K_M-GGUF
This model was converted to GGUF format from [`KOCDIGITAL/Kocdigital-LLM-8b-v0.1`](https://huggingface.co/KOCDIGITAL/Kocdigital-LLM-8b-v0.1) 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/KOCDIGITAL/Kocdigital-LLM-8b-v0.1) 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 serkandyck/Kocdigital-LLM-8b-v0.1-Q4_K_M-GGUF --hf-file kocdigital-llm-8b-v0.1-q4_k_m.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo serkandyck/Kocdigital-LLM-8b-v0.1-Q4_K_M-GGUF --hf-file kocdigital-llm-8b-v0.1-q4_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 serkandyck/Kocdigital-LLM-8b-v0.1-Q4_K_M-GGUF --hf-file kocdigital-llm-8b-v0.1-q4_k_m.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo serkandyck/Kocdigital-LLM-8b-v0.1-Q4_K_M-GGUF --hf-file kocdigital-llm-8b-v0.1-q4_k_m.gguf -c 2048
```