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README.md

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+---
+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
+```