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Model: Yuma42/KangalKhan-RawEmerald-7B Source: Original Platform
2026-04-11 19:14:01 +08:00
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--- a/README.md
+++ b/README.md
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+---
+language:
+- en
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- lazymergekit
+- argilla/CapybaraHermes-2.5-Mistral-7B
+- argilla/distilabeled-OpenHermes-2.5-Mistral-7B
+base_model:
+- argilla/CapybaraHermes-2.5-Mistral-7B
+- argilla/distilabeled-OpenHermes-2.5-Mistral-7B
+model-index:
+- name: KangalKhan-RawEmerald-7B
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 66.89
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yuma42/KangalKhan-RawEmerald-7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 85.75
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yuma42/KangalKhan-RawEmerald-7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 63.23
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yuma42/KangalKhan-RawEmerald-7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 57.58
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yuma42/KangalKhan-RawEmerald-7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 78.22
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yuma42/KangalKhan-RawEmerald-7B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 62.85
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Yuma42/KangalKhan-RawEmerald-7B
+      name: Open LLM Leaderboard
+---
+
+# KangalKhan-RawEmerald-7B
+
+I suggest using ChatML (Use whatever system prompt you like, this is just an example!):
+```
+<|im_start|>system
+You are a friendly assistant.<|im_end|>
+<|im_start|>user
+Hello, what are you?<|im_end|>
+<|im_start|>assistant
+I am an AI language model designed to assist users with information and answer their questions. How can I help you today?<|im_end|>
+```
+
+Q4_K_S GGUF:  
+https://huggingface.co/Yuma42/KangalKhan-RawEmerald-7B-GGUF  
+
+More GGUF variants by [mradermacher](https://huggingface.co/mradermacher):  
+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.
+https://huggingface.co/mradermacher/KangalKhan-RawEmerald-7B-GGUF
+
+KangalKhan-RawEmerald-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [argilla/CapybaraHermes-2.5-Mistral-7B](https://huggingface.co/argilla/CapybaraHermes-2.5-Mistral-7B)
+* [argilla/distilabeled-OpenHermes-2.5-Mistral-7B](https://huggingface.co/argilla/distilabeled-OpenHermes-2.5-Mistral-7B)
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: teknium/OpenHermes-2.5-Mistral-7B
+    # no parameters necessary for base model
+  - model: argilla/CapybaraHermes-2.5-Mistral-7B
+    parameters:
+      density: 0.6
+      weight: 0.5
+  - model: argilla/distilabeled-OpenHermes-2.5-Mistral-7B
+    parameters:
+      density: 0.6
+      weight: 0.5
+merge_method: ties
+base_model: teknium/OpenHermes-2.5-Mistral-7B
+parameters:
+  normalize: true
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Yuma42/KangalKhan-RawEmerald-7B"
+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/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Yuma42__KangalKhan-RawEmerald-7B)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |69.09|
+|AI2 Reasoning Challenge (25-Shot)|66.89|
+|HellaSwag (10-Shot)              |85.75|
+|MMLU (5-Shot)                    |63.23|
+|TruthfulQA (0-shot)              |57.58|
+|Winogrande (5-shot)              |78.22|
+|GSM8k (5-shot)                   |62.85|
+
--- a/added_tokens.json
+++ b/added_tokens.json
@@ -0,0 +1,4 @@
+{
+  "<|im_end|>": 32000,
+  "<|im_start|>": 32001
+}
--- a/config.json
+++ b/config.json
@@ -0,0 +1,25 @@
+{
+  "_name_or_path": "teknium/OpenHermes-2.5-Mistral-7B",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.2",
+  "use_cache": false,
+  "vocab_size": 32002
+}
--- a/mergekit_config.yml
+++ b/mergekit_config.yml
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+
+models:
+  - model: teknium/OpenHermes-2.5-Mistral-7B
+    # no parameters necessary for base model
+  - model: argilla/CapybaraHermes-2.5-Mistral-7B
+    parameters:
+      density: 0.6
+      weight: 0.5
+  - model: argilla/distilabeled-OpenHermes-2.5-Mistral-7B
+    parameters:
+      density: 0.6
+      weight: 0.5
+merge_method: ties
+base_model: teknium/OpenHermes-2.5-Mistral-7B
+parameters:
+  normalize: true
+dtype: bfloat16
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+    "content": "<s>",
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+  "additional_special_tokens": [],
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+  "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 %}",
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+}