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  1. README.md +14 -14
README.md CHANGED
@@ -10,7 +10,7 @@ tags:
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  - finetune
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  - chatml
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  base_model: Qwen/Qwen2-72B-Instruct
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- model_name: MaziyarPanahi/Qwen2-72B-Instruct-v0.1
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  license_name: tongyi-qianwen
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  license_link: https://huggingface.co/Qwen/Qwen2-72B-Instruct/blob/main/LICENSE
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  pipeline_tag: text-generation
@@ -18,7 +18,7 @@ inference: false
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  model_creator: MaziyarPanahi
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  quantized_by: MaziyarPanahi
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  model-index:
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- - name: Qwen2-72B-Instruct-v0.1
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  results:
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  - task:
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  type: text-generation
@@ -33,7 +33,7 @@ model-index:
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  value: 81.63
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  name: strict accuracy
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  source:
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- url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-72B-Instruct-v0.1
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
@@ -48,7 +48,7 @@ model-index:
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  value: 57.33
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  name: normalized accuracy
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  source:
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- url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-72B-Instruct-v0.1
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
@@ -63,7 +63,7 @@ model-index:
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  value: 36.03
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  name: exact match
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  source:
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- url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-72B-Instruct-v0.1
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
@@ -78,7 +78,7 @@ model-index:
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  value: 17.45
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  name: acc_norm
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  source:
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- url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-72B-Instruct-v0.1
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
@@ -93,7 +93,7 @@ model-index:
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  value: 20.15
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  name: acc_norm
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  source:
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- url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-72B-Instruct-v0.1
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
@@ -110,23 +110,23 @@ model-index:
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  value: 49.05
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  name: accuracy
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  source:
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- url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-72B-Instruct-v0.1
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  name: Open LLM Leaderboard
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  ---
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  <img src="./qwen2-fine-tunes-maziyar-panahi.webp" alt="Qwen2 fine-tune" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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- # MaziyarPanahi/Qwen2-72B-Instruct-v0.1
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  This is a fine-tuned version of the `Qwen/Qwen2-72B-Instruct` model. It aims to improve the base model across all benchmarks.
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  # ⚡ Quantized GGUF
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- All GGUF models are available here: [MaziyarPanahi/Qwen2-72B-Instruct-v0.1-GGUF](https://huggingface.co/MaziyarPanahi/Qwen2-72B-Instruct-v0.1-GGUF)
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  # 🏆 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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- Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_MaziyarPanahi__Qwen2-72B-Instruct-v0.1)
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  | Metric |Value|
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  |-------------------|----:|
@@ -185,7 +185,7 @@ from transformers import pipeline
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  messages = [
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  {"role": "user", "content": "Who are you?"},
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  ]
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- pipe = pipeline("text-generation", model="MaziyarPanahi/Qwen2-72B-Instruct-v0.1")
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  pipe(messages)
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@@ -193,8 +193,8 @@ pipe(messages)
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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- tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/Qwen2-72B-Instruct-v0.1")
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- model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/Qwen2-72B-Instruct-v0.1")
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  ```
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  - finetune
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  - chatml
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  base_model: Qwen/Qwen2-72B-Instruct
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+ model_name: MaziyarPanahi/calme-2.1-qwen2-72b
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  license_name: tongyi-qianwen
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  license_link: https://huggingface.co/Qwen/Qwen2-72B-Instruct/blob/main/LICENSE
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  pipeline_tag: text-generation
 
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  model_creator: MaziyarPanahi
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  quantized_by: MaziyarPanahi
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  model-index:
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+ - name: calme-2.1-qwen2-72b
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  results:
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  - task:
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  type: text-generation
 
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  value: 81.63
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  name: strict accuracy
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  source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-qwen2-72b
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
 
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  value: 57.33
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  name: normalized accuracy
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  source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-qwen2-72b
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
 
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  value: 36.03
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  name: exact match
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  source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-qwen2-72b
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
 
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  value: 17.45
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  name: acc_norm
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  source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-qwen2-72b
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
 
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  value: 20.15
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  name: acc_norm
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  source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-qwen2-72b
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
 
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  value: 49.05
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  name: accuracy
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  source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.1-qwen2-72b
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  name: Open LLM Leaderboard
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  ---
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  <img src="./qwen2-fine-tunes-maziyar-panahi.webp" alt="Qwen2 fine-tune" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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+ # MaziyarPanahi/calme-2.1-qwen2-72b
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  This is a fine-tuned version of the `Qwen/Qwen2-72B-Instruct` model. It aims to improve the base model across all benchmarks.
122
 
123
  # ⚡ Quantized GGUF
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125
+ All GGUF models are available here: [MaziyarPanahi/calme-2.1-qwen2-72b-GGUF](https://huggingface.co/MaziyarPanahi/calme-2.1-qwen2-72b-GGUF)
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  # 🏆 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_MaziyarPanahi__calme-2.1-qwen2-72b)
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  | Metric |Value|
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  |-------------------|----:|
 
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  messages = [
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  {"role": "user", "content": "Who are you?"},
187
  ]
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+ pipe = pipeline("text-generation", model="MaziyarPanahi/calme-2.1-qwen2-72b")
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  pipe(messages)
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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+ tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-2.1-qwen2-72b")
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+ model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-2.1-qwen2-72b")
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  ```
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