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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model: SvalTek/Qwen3-ColdBrew-14B
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+ tags:
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+ - merge
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+ - lazymergekit
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+ ---
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+
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+ # Q2.5-ColdBrew-RxVm
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ name: Q2.5-ColdBrew-RxVm
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+
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+ base_model: SvalTek/Q2.5-ColdBrew-RxV
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+ models:
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+ - model: SvalTek/Q2.5-ColdBrew-RxB
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+
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+ merge_method: arcee_fusion
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+ tokenizer_source: SvalTek/Q2.5-ColdBrew-RxB
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+ dtype: bfloat16
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+ normalize: true
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+ int8_mask: true
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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 = "SvalTek/Q2.5-ColdBrew-RxVm"
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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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chat_template.jinja ADDED
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+ {% if 'role' in messages[0] %}{% for message in messages %}{% if message['role'] == 'user' %}{{'<|im_start|>user
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+ ' + message['content'] + '<|im_end|>
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+ '}}{% elif message['role'] == 'assistant' %}{{'<|im_start|>assistant
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+ ' + message['content'] + '<|im_end|>
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+ ' }}{% else %}{{ '<|im_start|>system
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+ ' + message['content'] + '<|im_end|>
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+ ' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
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+ ' }}{% endif %}{% else %}{% for message in messages %}{% if message['from'] == 'human' %}{{'<|im_start|>user
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+ ' + message['value'] + '<|im_end|>
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+ '}}{% elif message['from'] == 'gpt' %}{{'<|im_start|>assistant
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+ ' + message['value'] + '<|im_end|>
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+ ' }}{% else %}{{ '<|im_start|>system
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+ ' + message['value'] + '<|im_end|>
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+ ' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
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+ ' }}{% endif %}{% endif %}
config.json ADDED
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+ {
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+ "Qwen2ForCausalLM"
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+ "layer_types": [
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "num_attention_heads": 28,
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+ "num_hidden_layers": 35,
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+ "organization": "SvalTek",
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+ "torch_dtype": "bfloat16",
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+ "use_cache": true,
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+ "use_sliding_window": false,
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+ "vocab_size": 151666
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+ }
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+ name: Q2.5-ColdBrew-RxVm
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+ merge_method: arcee_fusion
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