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Model: Gille/StrangeMerges_12-7B-slerp Source: Original Platform
2026-05-12 21:41:03 +08:00
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--- a/README.md
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+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- lazymergekit
+- Keynote-Technology/KAI-7B-v0.1
+- Gille/StrangeMerges_11-7B-slerp
+base_model:
+- Keynote-Technology/KAI-7B-v0.1
+- Gille/StrangeMerges_11-7B-slerp
+model-index:
+- name: StrangeMerges_12-7B-slerp
+  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: 66.64
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Gille/StrangeMerges_12-7B-slerp
+      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: 85.89
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Gille/StrangeMerges_12-7B-slerp
+      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: 64.94
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Gille/StrangeMerges_12-7B-slerp
+      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: 52.55
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Gille/StrangeMerges_12-7B-slerp
+      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: 81.69
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Gille/StrangeMerges_12-7B-slerp
+      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: 63.08
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Gille/StrangeMerges_12-7B-slerp
+      name: Open LLM Leaderboard
+---
+
+# StrangeMerges_12-7B-slerp
+
+StrangeMerges_12-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [Keynote-Technology/KAI-7B-v0.1](https://huggingface.co/Keynote-Technology/KAI-7B-v0.1)
+* [Gille/StrangeMerges_11-7B-slerp](https://huggingface.co/Gille/StrangeMerges_11-7B-slerp)
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: Keynote-Technology/KAI-7B-v0.1
+        layer_range: [0, 32]
+      - model: Gille/StrangeMerges_11-7B-slerp
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: Keynote-Technology/KAI-7B-v0.1
+parameters:
+  t:
+    - filter: self_attn
+      value: [0.1, 0.6, 0.3, 0.8, 0.5]
+    - filter: mlp
+      value: [0.9, 0.4, 0.7, 0.2, 0.5]
+    - value: 0.5
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Gille/StrangeMerges_12-7B-slerp"
+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_Gille__StrangeMerges_12-7B-slerp)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |69.13|
+|AI2 Reasoning Challenge (25-Shot)|66.64|
+|HellaSwag (10-Shot)              |85.89|
+|MMLU (5-Shot)                    |64.94|
+|TruthfulQA (0-shot)              |52.55|
+|Winogrande (5-shot)              |81.69|
+|GSM8k (5-shot)                   |63.08|
+
--- a/config.json
+++ b/config.json
@@ -0,0 +1,25 @@
+{
+  "_name_or_path": "Keynote-Technology/KAI-7B-v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "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": true,
+  "vocab_size": 32000
+}
--- a/mergekit_config.yml
+++ b/mergekit_config.yml
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+
+slices:
+  - sources:
+      - model: Keynote-Technology/KAI-7B-v0.1
+        layer_range: [0, 32]
+      - model: Gille/StrangeMerges_11-7B-slerp
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: Keynote-Technology/KAI-7B-v0.1
+parameters:
+  t:
+    - filter: self_attn
+      value: [0.1, 0.6, 0.3, 0.8, 0.5]
+    - filter: mlp
+      value: [0.9, 0.4, 0.7, 0.2, 0.5]
+    - value: 0.5
+dtype: bfloat16
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--- a/tokenizer.json
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+}