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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,84 @@
+---
+base_model:
+- Theros/Qwen2.5-ColdBrew-R1
+- Theros/Qwen2.5-ColdBrew-R1
+- Theros/Qwen2.5-ColdBrew-R1
+- Theros/Qwen2.5-ColdBrew-R1
+tags:
+- merge
+- mergekit
+- lazymergekit
+- Theros/Qwen2.5-ColdBrew-R1
+---
+
+# Q2.5-ColdBrew-R1-Indigo
+
+Q2.5-ColdBrew-R1-Indigo is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [Theros/Qwen2.5-ColdBrew-R1](https://huggingface.co/Theros/Qwen2.5-ColdBrew-R1)
+* [Theros/Qwen2.5-ColdBrew-R1](https://huggingface.co/Theros/Qwen2.5-ColdBrew-R1)
+* [Theros/Qwen2.5-ColdBrew-R1](https://huggingface.co/Theros/Qwen2.5-ColdBrew-R1)
+* [Theros/Qwen2.5-ColdBrew-R1](https://huggingface.co/Theros/Qwen2.5-ColdBrew-R1)
+
+## 🧩 Configuration
+
+```yaml
+name: Q2.5-ColdBrew-R1-Indigo
+const_tag: &scale_factor 0.7071067812  # 1/sqrt(2) scaling for stability
+
+attenuate-env: &attenuated_env
+  parameters:
+    scale:
+      - filter: q_proj
+        value: *scale_factor
+      - filter: k_proj
+        value: *scale_factor
+      - value: 1.0
+
+slices:
+  - sources:
+      - model: Theros/Qwen2.5-ColdBrew-R1
+        layer_range: [0, 8]  # Retaining foundational knowledge and language structure.
+
+  - sources:
+      - model: Theros/Qwen2.5-ColdBrew-R1
+        layer_range: [9, 19]  # Full-strength duplication of mid-range reasoning layers.
+
+  - sources:
+      - model: Theros/Qwen2.5-ColdBrew-R1
+        layer_range: [10, 19]  # Targeted reinforcement, slightly attenuated to avoid over-dominance.
+        <<: *attenuated_env
+
+  - sources:
+      - model: Theros/Qwen2.5-ColdBrew-R1
+        layer_range: [20, 28]  # Keeping higher-level abstract processing untouched for stability.
+
+merge_method: passthrough
+dtype: bfloat16
+normalize: true
+int8_mask: true
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "SvalTek/Q2.5-ColdBrew-R1-Indigo"
+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"])
+```

added_tokens.json

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+  "<tool_call>": 151657,
+  "<|PAD_TOKEN|>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

config.json

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+{
+  "_name_or_path": "Theros/Qwen2.5-ColdBrew-R1",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "max_position_embeddings": 131072,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 35,
+  "num_key_value_heads": 4,
+  "organization": "SvalTek",
+  "pad_token_id": 151665,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.48.2",
+  "unsloth_version": "2024.12.4",
+  "use_cache": true,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 151666
+}

mergekit_config.yml

@@ -0,0 +1,35 @@
+
+name: Q2.5-ColdBrew-R1-Indigo
+const_tag: &scale_factor 0.7071067812  # 1/sqrt(2) scaling for stability
+
+attenuate-env: &attenuated_env
+  parameters:
+    scale:
+      - filter: q_proj
+        value: *scale_factor
+      - filter: k_proj
+        value: *scale_factor
+      - value: 1.0
+
+slices:
+  - sources:
+      - model: Theros/Qwen2.5-ColdBrew-R1
+        layer_range: [0, 8]  # Retaining foundational knowledge and language structure.
+
+  - sources:
+      - model: Theros/Qwen2.5-ColdBrew-R1
+        layer_range: [9, 19]  # Full-strength duplication of mid-range reasoning layers.
+
+  - sources:
+      - model: Theros/Qwen2.5-ColdBrew-R1
+        layer_range: [10, 19]  # Targeted reinforcement, slightly attenuated to avoid over-dominance.
+        <<: *attenuated_env
+
+  - sources:
+      - model: Theros/Qwen2.5-ColdBrew-R1
+        layer_range: [20, 28]  # Keeping higher-level abstract processing untouched for stability.
+
+merge_method: passthrough
+dtype: bfloat16
+normalize: true
+int8_mask: true

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special_tokens_map.json

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tokenizer.json

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+size 11422086

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