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README.md

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+---
+base_model: OpenLLM-Ro/RoLlama3-8b-Instruct-DPO
+datasets:
+- OpenLLM-Ro/ro_dpo_helpsteer
+language:
+- ro
+license: cc-by-nc-4.0
+tags:
+- llama-cpp
+- gguf-my-repo
+model-index:
+- name: OpenLLM-Ro/RoLlama3-8b-Instruct-DPO-2024-10-09
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      name: RoMT-Bench
+      type: RoMT-Bench
+    metrics:
+    - type: Score
+      value: 5.87
+      name: Score
+    - type: Score
+      value: 6.22
+      name: First turn
+    - type: Score
+      value: 5.49
+      name: Second turn
+  - task:
+      type: text-generation
+    dataset:
+      name: RoCulturaBench
+      type: RoCulturaBench
+    metrics:
+    - type: Score
+      value: 4.4
+      name: Score
+  - task:
+      type: text-generation
+    dataset:
+      name: Romanian_Academic_Benchmarks
+      type: Romanian_Academic_Benchmarks
+    metrics:
+    - type: accuracy
+      value: 49.96
+      name: Average accuracy
+  - task:
+      type: text-generation
+    dataset:
+      name: OpenLLM-Ro/ro_arc_challenge
+      type: OpenLLM-Ro/ro_arc_challenge
+    metrics:
+    - type: accuracy
+      value: 46.29
+      name: Average accuracy
+    - type: accuracy
+      value: 44.56
+      name: 0-shot
+    - type: accuracy
+      value: 45.42
+      name: 1-shot
+    - type: accuracy
+      value: 46.1
+      name: 3-shot
+    - type: accuracy
+      value: 46.27
+      name: 5-shot
+    - type: accuracy
+      value: 46.96
+      name: 10-shot
+    - type: accuracy
+      value: 48.41
+      name: 25-shot
+  - task:
+      type: text-generation
+    dataset:
+      name: OpenLLM-Ro/ro_mmlu
+      type: OpenLLM-Ro/ro_mmlu
+    metrics:
+    - type: accuracy
+      value: 53.29
+      name: Average accuracy
+    - type: accuracy
+      value: 52.33
+      name: 0-shot
+    - type: accuracy
+      value: 52.86
+      name: 1-shot
+    - type: accuracy
+      value: 54.06
+      name: 3-shot
+    - type: accuracy
+      value: 53.9
+      name: 5-shot
+  - task:
+      type: text-generation
+    dataset:
+      name: OpenLLM-Ro/ro_winogrande
+      type: OpenLLM-Ro/ro_winogrande
+    metrics:
+    - type: accuracy
+      value: 65.57
+      name: Average accuracy
+    - type: accuracy
+      value: 64.33
+      name: 0-shot
+    - type: accuracy
+      value: 64.72
+      name: 1-shot
+    - type: accuracy
+      value: 66.3
+      name: 3-shot
+    - type: accuracy
+      value: 66.93
+      name: 5-shot
+  - task:
+      type: text-generation
+    dataset:
+      name: OpenLLM-Ro/ro_hellaswag
+      type: OpenLLM-Ro/ro_hellaswag
+    metrics:
+    - type: accuracy
+      value: 58.15
+      name: Average accuracy
+    - type: accuracy
+      value: 57.45
+      name: 0-shot
+    - type: accuracy
+      value: 57.65
+      name: 1-shot
+    - type: accuracy
+      value: 58.18
+      name: 3-shot
+    - type: accuracy
+      value: 58.64
+      name: 5-shot
+    - type: accuracy
+      value: 58.85
+      name: 10-shot
+  - task:
+      type: text-generation
+    dataset:
+      name: OpenLLM-Ro/ro_gsm8k
+      type: OpenLLM-Ro/ro_gsm8k
+    metrics:
+    - type: accuracy
+      value: 34.77
+      name: Average accuracy
+    - type: accuracy
+      value: 32.52
+      name: 1-shot
+    - type: accuracy
+      value: 33.97
+      name: 3-shot
+    - type: accuracy
+      value: 37.83
+      name: 5-shot
+  - task:
+      type: text-generation
+    dataset:
+      name: OpenLLM-Ro/ro_truthfulqa
+      type: OpenLLM-Ro/ro_truthfulqa
+    metrics:
+    - type: accuracy
+      value: 41.7
+      name: Average accuracy
+  - task:
+      type: text-generation
+    dataset:
+      name: LaRoSeDa_binary
+      type: LaRoSeDa_binary
+    metrics:
+    - type: macro-f1
+      value: 97.48
+      name: Average macro-f1
+    - type: macro-f1
+      value: 97.67
+      name: 0-shot
+    - type: macro-f1
+      value: 97.07
+      name: 1-shot
+    - type: macro-f1
+      value: 97.4
+      name: 3-shot
+    - type: macro-f1
+      value: 97.8
+      name: 5-shot
+  - task:
+      type: text-generation
+    dataset:
+      name: LaRoSeDa_multiclass
+      type: LaRoSeDa_multiclass
+    metrics:
+    - type: macro-f1
+      value: 54.0
+      name: Average macro-f1
+    - type: macro-f1
+      value: 58.49
+      name: 0-shot
+    - type: macro-f1
+      value: 55.93
+      name: 1-shot
+    - type: macro-f1
+      value: 47.7
+      name: 3-shot
+    - type: macro-f1
+      value: 53.89
+      name: 5-shot
+  - task:
+      type: text-generation
+    dataset:
+      name: LaRoSeDa_binary_finetuned
+      type: LaRoSeDa_binary_finetuned
+    metrics:
+    - type: macro-f1
+      value: 0.0
+      name: Average macro-f1
+  - task:
+      type: text-generation
+    dataset:
+      name: LaRoSeDa_multiclass_finetuned
+      type: LaRoSeDa_multiclass_finetuned
+    metrics:
+    - type: macro-f1
+      value: 0.0
+      name: Average macro-f1
+  - task:
+      type: text-generation
+    dataset:
+      name: WMT_EN-RO
+      type: WMT_EN-RO
+    metrics:
+    - type: bleu
+      value: 22.09
+      name: Average bleu
+    - type: bleu
+      value: 8.63
+      name: 0-shot
+    - type: bleu
+      value: 25.89
+      name: 1-shot
+    - type: bleu
+      value: 26.79
+      name: 3-shot
+    - type: bleu
+      value: 27.05
+      name: 5-shot
+  - task:
+      type: text-generation
+    dataset:
+      name: WMT_RO-EN
+      type: WMT_RO-EN
+    metrics:
+    - type: bleu
+      value: 23.0
+      name: Average bleu
+    - type: bleu
+      value: 3.56
+      name: 0-shot
+    - type: bleu
+      value: 20.66
+      name: 1-shot
+    - type: bleu
+      value: 33.56
+      name: 3-shot
+    - type: bleu
+      value: 34.22
+      name: 5-shot
+  - task:
+      type: text-generation
+    dataset:
+      name: WMT_EN-RO_finetuned
+      type: WMT_EN-RO_finetuned
+    metrics:
+    - type: bleu
+      value: 0.0
+      name: Average bleu
+  - task:
+      type: text-generation
+    dataset:
+      name: WMT_RO-EN_finetuned
+      type: WMT_RO-EN_finetuned
+    metrics:
+    - type: bleu
+      value: 0.0
+      name: Average bleu
+  - task:
+      type: text-generation
+    dataset:
+      name: XQuAD
+      type: XQuAD
+    metrics:
+    - type: exact_match
+      value: 26.05
+      name: Average exact_match
+    - type: f1
+      value: 42.77
+      name: Average f1
+  - task:
+      type: text-generation
+    dataset:
+      name: XQuAD_finetuned
+      type: XQuAD_finetuned
+    metrics:
+    - type: exact_match
+      value: 0.0
+      name: Average exact_match
+    - type: f1
+      value: 0.0
+      name: Average f1
+  - task:
+      type: text-generation
+    dataset:
+      name: STS
+      type: STS
+    metrics:
+    - type: spearman
+      value: 79.64
+      name: Average spearman
+    - type: pearson
+      value: 79.52
+      name: Average pearson
+  - task:
+      type: text-generation
+    dataset:
+      name: STS_finetuned
+      type: STS_finetuned
+    metrics:
+    - type: spearman
+      value: 0.0
+      name: Average spearman
+    - type: pearson
+      value: 0.0
+      name: Average pearson
+  - task:
+      type: text-generation
+    dataset:
+      name: XQuAD_EM
+      type: XQuAD_EM
+    metrics:
+    - type: exact_match
+      value: 11.26
+      name: 0-shot
+    - type: exact_match
+      value: 34.29
+      name: 1-shot
+    - type: exact_match
+      value: 29.24
+      name: 3-shot
+    - type: exact_match
+      value: 29.41
+      name: 5-shot
+  - task:
+      type: text-generation
+    dataset:
+      name: XQuAD_F1
+      type: XQuAD_F1
+    metrics:
+    - type: f1
+      value: 22.98
+      name: 0-shot
+    - type: f1
+      value: 54.48
+      name: 1-shot
+    - type: f1
+      value: 46.18
+      name: 3-shot
+    - type: f1
+      value: 47.43
+      name: 5-shot
+  - task:
+      type: text-generation
+    dataset:
+      name: STS_Spearman
+      type: STS_Spearman
+    metrics:
+    - type: spearman
+      value: 79.99
+      name: 1-shot
+    - type: spearman
+      value: 78.42
+      name: 3-shot
+    - type: spearman
+      value: 80.51
+      name: 5-shot
+  - task:
+      type: text-generation
+    dataset:
+      name: STS_Pearson
+      type: STS_Pearson
+    metrics:
+    - type: pearson
+      value: 80.59
+      name: 1-shot
+    - type: pearson
+      value: 78.11
+      name: 3-shot
+    - type: pearson
+      value: 79.87
+      name: 5-shot
+---
+
+# code380/RoLlama3-8b-Instruct-DPO-Q8_0-GGUF
+This model was converted to GGUF format from [`OpenLLM-Ro/RoLlama3-8b-Instruct-DPO`](https://huggingface.co/OpenLLM-Ro/RoLlama3-8b-Instruct-DPO) 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/OpenLLM-Ro/RoLlama3-8b-Instruct-DPO) 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 code380/RoLlama3-8b-Instruct-DPO-Q8_0-GGUF --hf-file rollama3-8b-instruct-dpo-q8_0.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo code380/RoLlama3-8b-Instruct-DPO-Q8_0-GGUF --hf-file rollama3-8b-instruct-dpo-q8_0.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 code380/RoLlama3-8b-Instruct-DPO-Q8_0-GGUF --hf-file rollama3-8b-instruct-dpo-q8_0.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo code380/RoLlama3-8b-Instruct-DPO-Q8_0-GGUF --hf-file rollama3-8b-instruct-dpo-q8_0.gguf -c 2048
+```