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README.md

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+---
+language:
+- en
+- id
+- jv
+- su
+license: gemma
+tags:
+- merge
+- mergekit
+- autoquant
+- gguf
+base_model:
+- GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct
+- aisingapore/gemma2-9b-cpt-sea-lionv3-instruct
+model-index:
+- name: gemma2-9b-sahabatai-v1-instruct-BaseTIES
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 73.78
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gmonsoon/gemma2-9b-sahabatai-v1-instruct-BaseTIES
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 43.4
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gmonsoon/gemma2-9b-sahabatai-v1-instruct-BaseTIES
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 19.34
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gmonsoon/gemma2-9b-sahabatai-v1-instruct-BaseTIES
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 9.4
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gmonsoon/gemma2-9b-sahabatai-v1-instruct-BaseTIES
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 19.13
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gmonsoon/gemma2-9b-sahabatai-v1-instruct-BaseTIES
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 37.19
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=gmonsoon/gemma2-9b-sahabatai-v1-instruct-BaseTIES
+      name: Open LLM Leaderboard
+---
+
+# SahabatAI-Lion-9B-TIES-v1
+formerly gemma2-9b-cpt-sahabatai-v1-instruct-BaseTIES (model name too long :D )
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/642b04e4ecec03b44649e318/rJ0ogty-DbLUEH48Ms5lE.png)
+
+Based on some research, when a finetuned model is merged with its base model with TIES method, there is possibility the merged model will achieve better output. 
+
+**UPDATE!!! as 20 November 2024, this model is third best model (number one for Gemma2-9B based model) on HF's Open LLM Leaderboard (with Merge/MoErges hide model unchecked) for LLM model below 10B parameters.**
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/642b04e4ecec03b44649e318/8Hv3YtWtzzFlJ0_kUpsT7.png)
+
+gmonsoon/SahabatAI-Lion-9B-TIES-v1 is a merge of the following models:
+* [GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct](https://huggingface.co/GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct)
+* [aisingapore/gemma2-9b-cpt-sea-lionv3-instruct](https://huggingface.co/aisingapore/gemma2-9b-cpt-sea-lionv3-instruct)
+
+DEMO Spaces: [HERE](https://huggingface.co/spaces/gmonsoon/SahabatAI-Lion-9B-TIES-v1)
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct
+    parameters:
+      weight: 1
+      density: 1
+  - model: GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct
+    parameters:
+      weight: 1
+      density: 1
+merge_method: ties
+base_model: aisingapore/gemma2-9b-cpt-sea-lionv3-instruct
+parameters:
+  density: 1
+  normalize: true
+  int8_mask: true
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "gmonsoon/SahabatAI-Lion-9B-TIES-v1"
+messages = [{"role": "user", "content": "What is a large language model?"}]
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_gmonsoon__gemma2-9b-sahabatai-v1-instruct-BaseTIES)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |33.70|
+|IFEval (0-Shot)    |73.78|
+|BBH (3-Shot)       |43.40|
+|MATH Lvl 5 (4-Shot)|19.34|
+|GPQA (0-shot)      | 9.40|
+|MuSR (0-shot)      |19.13|
+|MMLU-PRO (5-shot)  |37.19|
+

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