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README.md ADDED
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+ ---
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+ language:
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+ - en
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+ license: apache-2.0
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+ tags:
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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - Yuma42/KangalKhan-Ruby-7B-Fixed
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+ - Yuma42/KangalKhan-RawEmerald-7B
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+ base_model:
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+ - Yuma42/KangalKhan-Ruby-7B-Fixed
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+ - Yuma42/KangalKhan-RawEmerald-7B
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+ model-index:
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+ - name: KangalKhan-RawRuby-7B
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+ results:
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: AI2 Reasoning Challenge (25-Shot)
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+ type: ai2_arc
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+ config: ARC-Challenge
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+ split: test
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+ args:
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+ num_few_shot: 25
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+ metrics:
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+ - type: acc_norm
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+ value: 66.89
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yuma42/KangalKhan-RawRuby-7B
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: HellaSwag (10-Shot)
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+ type: hellaswag
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+ split: validation
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+ args:
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+ num_few_shot: 10
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+ metrics:
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+ - type: acc_norm
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+ value: 85.53
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yuma42/KangalKhan-RawRuby-7B
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MMLU (5-Shot)
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+ type: cais/mmlu
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+ config: all
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 63.46
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yuma42/KangalKhan-RawRuby-7B
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: TruthfulQA (0-shot)
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+ type: truthful_qa
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+ config: multiple_choice
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+ split: validation
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: mc2
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+ value: 57.09
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yuma42/KangalKhan-RawRuby-7B
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: Winogrande (5-shot)
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+ type: winogrande
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+ config: winogrande_xl
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+ split: validation
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 78.69
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yuma42/KangalKhan-RawRuby-7B
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: GSM8k (5-shot)
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+ type: gsm8k
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+ config: main
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 62.02
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yuma42/KangalKhan-RawRuby-7B
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+ name: Open LLM Leaderboard
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+ ---
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+
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+ # KangalKhan-RawRuby-7B
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+
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+ I suggest using ChatML (Use whatever system prompt you like, this is just an example!):
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+ ```
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+ <|im_start|>system
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+ You are a friendly assistant.<|im_end|>
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+ <|im_start|>user
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+ Hello, what are you?<|im_end|>
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+ <|im_start|>assistant
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+ I am an AI language model designed to assist users with information and answer their questions. How can I help you today?<|im_end|>
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+ ```
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+
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+
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+ Q4_K_S GGUF:
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+ https://huggingface.co/Yuma42/KangalKhan-RawRuby-7B-GGUF
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+
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+ More GGUF variants by [mradermacher](https://huggingface.co/mradermacher):
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+ WARNING: I have observed that these versions output typos in rare cases. If you have the same problem, use my Q4_K_S GGUF above.
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+ https://huggingface.co/mradermacher/KangalKhan-RawRuby-7B-GGUF
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+ weighted/imatrix GGUF by [mradermacher](https://huggingface.co/mradermacher):
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+ https://huggingface.co/mradermacher/KangalKhan-RawRuby-7B-i1-GGUF
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+
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+
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+
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+ KangalKhan-RawRuby-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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+ * [Yuma42/KangalKhan-Ruby-7B-Fixed](https://huggingface.co/Yuma42/KangalKhan-Ruby-7B-Fixed)
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+ * [Yuma42/KangalKhan-RawEmerald-7B](https://huggingface.co/Yuma42/KangalKhan-RawEmerald-7B)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ slices:
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+ - sources:
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+ - model: Yuma42/KangalKhan-Ruby-7B-Fixed
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+ layer_range: [0, 32]
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+ - model: Yuma42/KangalKhan-RawEmerald-7B
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+ layer_range: [0, 32]
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+ merge_method: slerp
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+ base_model: Yuma42/KangalKhan-Ruby-7B-Fixed
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0.1, 0.55, 0.35, 0.75, 0.97]
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+ - filter: mlp
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+ value: [0.9, 0.45, 0.65, 0.25, 0.03]
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+ - value: 0.5
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+ dtype: bfloat16
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+ ```
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+
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+ ## 💻 Usage
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+
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+ ```python
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+ !pip install -qU transformers accelerate
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+
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+ from transformers import AutoTokenizer
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+ import transformers
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+ import torch
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+
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+ model = "Yuma42/KangalKhan-RawRuby-7B"
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+ messages = [{"role": "user", "content": "What is a large language model?"}]
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+
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+ tokenizer = AutoTokenizer.from_pretrained(model)
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+ prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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+ pipeline = transformers.pipeline(
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+ "text-generation",
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+ model=model,
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+ torch_dtype=torch.float16,
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+ device_map="auto",
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+ )
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+
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+ outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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+ print(outputs[0]["generated_text"])
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+ ```
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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_Yuma42__KangalKhan-RawRuby-7B)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |68.95|
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+ |AI2 Reasoning Challenge (25-Shot)|66.89|
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+ |HellaSwag (10-Shot) |85.53|
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+ |MMLU (5-Shot) |63.46|
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+ |TruthfulQA (0-shot) |57.09|
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+ |Winogrande (5-shot) |78.69|
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+ |GSM8k (5-shot) |62.02|
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+
added_tokens.json ADDED
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+ {
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+ "<|im_end|>": 32000,
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+ "<|im_start|>": 32001
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+ }
config.json ADDED
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+ {
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+ "_name_or_path": "Yuma42/KangalKhan-Ruby-7B-Fixed",
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+ "MistralForCausalLM"
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+ "attention_dropout": 0.0,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.35.2",
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+ "use_cache": false,
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+ "vocab_size": 32002
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+ }
mergekit_config.yml ADDED
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+
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+ slices:
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+ - sources:
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+ - model: Yuma42/KangalKhan-Ruby-7B-Fixed
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+ layer_range: [0, 32]
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+ - model: Yuma42/KangalKhan-RawEmerald-7B
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+ layer_range: [0, 32]
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+ merge_method: slerp
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+ base_model: Yuma42/KangalKhan-Ruby-7B-Fixed
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0.1, 0.55, 0.35, 0.75, 0.97]
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+ - filter: mlp
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+ value: [0.9, 0.45, 0.65, 0.25, 0.03]
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+ - value: 0.5
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+ dtype: bfloat16
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+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "</s>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "32000": {
28
+ "content": "<|im_end|>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "32001": {
36
+ "content": "<|im_start|>",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "additional_special_tokens": [],
45
+ "bos_token": "<s>",
46
+ "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
47
+ "clean_up_tokenization_spaces": false,
48
+ "eos_token": "<|im_end|>",
49
+ "legacy": true,
50
+ "model_max_length": 1000000000000000019884624838656,
51
+ "pad_token": null,
52
+ "sp_model_kwargs": {},
53
+ "spaces_between_special_tokens": false,
54
+ "tokenizer_class": "LlamaTokenizer",
55
+ "trust_remote_code": false,
56
+ "unk_token": "<unk>",
57
+ "use_default_system_prompt": true,
58
+ "use_fast": true
59
+ }