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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.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 +1,63 @@
+---
+base_model: SvalTek/Qwen3-ColdBrew-14B
+tags:
+- merge
+- lazymergekit
+---
+
+# ColdBrew-12B-Nemo-test2
+
+## 🧩 Configuration
+
+```yaml
+name: ColdBrew-12B-Nemo-test2
+
+models:
+  - model: SvalTek/ColdBrew-12B-Nemo-test1
+    parameters:
+      weight: 1.0
+  - model: elinas/Chronos-Gold-12B-1.0
+    parameters:
+      weight: 0.3
+
+base_model: SvalTek/ColdBrew-12B-Nemo-test1
+merge_method: task_arithmetic
+chat_template: "chatml"
+tokenizer:
+  source: union          # keep everyone’s vocab; union is a documented option
+  tokens:
+    "<|im_start|>":
+      source: "elinas/Chronos-Gold-12B-1.0"
+      force: true
+    "<|im_end|>":
+      source: "elinas/Chronos-Gold-12B-1.0"
+      force: true
+dtype: bfloat16
+normalize: true
+int8_mask: true
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "SvalTek/ColdBrew-12B-Nemo-test2"
+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"])
+```

chat_template.jinja

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+{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}
+{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}

config.json

@@ -0,0 +1,29 @@
+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 131072,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 8,
+  "pad_token_id": 10,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.55.0",
+  "unsloth_version": "2025.7.11",
+  "use_cache": false,
+  "vocab_size": 131074
+}

mergekit_config.yml

@@ -0,0 +1,26 @@
+
+name: ColdBrew-12B-Nemo-test2
+
+models:
+  - model: SvalTek/ColdBrew-12B-Nemo-test1
+    parameters:
+      weight: 1.0
+  - model: elinas/Chronos-Gold-12B-1.0
+    parameters:
+      weight: 0.3
+
+base_model: SvalTek/ColdBrew-12B-Nemo-test1
+merge_method: task_arithmetic
+chat_template: "chatml"
+tokenizer:
+  source: union          # keep everyone’s vocab; union is a documented option
+  tokens:
+    "<|im_start|>":
+      source: "elinas/Chronos-Gold-12B-1.0"
+      force: true
+    "<|im_end|>":
+      source: "elinas/Chronos-Gold-12B-1.0"
+      force: true
+dtype: bfloat16
+normalize: true
+int8_mask: true

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