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README.md

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+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- mhenrichsen/gemma-2b-it
+- omparghale/gemma-2b-it-code-finetuned
+base_model:
+- mhenrichsen/gemma-2b-it
+- omparghale/gemma-2b-it-code-finetuned
+---
+
+# Gemma-2B-Code-it-Ties
+
+Gemma-2B-Code-it-Ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [mhenrichsen/gemma-2b-it](https://huggingface.co/mhenrichsen/gemma-2b-it)
+* [omparghale/gemma-2b-it-code-finetuned](https://huggingface.co/omparghale/gemma-2b-it-code-finetuned)
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: mhenrichsen/gemma-2b-it
+    parameters:
+      density: 0.5
+      weight: 0.5
+  - model: omparghale/gemma-2b-it-code-finetuned
+    parameters:
+      density: 0.5
+      weight: 0.5
+
+merge_method: ties
+base_model: omparghale/gemma-2b-it-code-finetuned
+parameters:
+  normalize: false
+  int8_mask: true
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "JoPmt/Gemma-2B-Code-it-Ties"
+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"])
+```

config.json

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+{
+  "_name_or_path": "BEE-spoke-data/smol_llama-220M-openhermes",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "max_position_embeddings": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 10,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.2",
+  "use_cache": false,
+  "vocab_size": 32128
+}

mergekit_config.yml

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+
+models:
+  - model: BEE-spoke-data/smol_llama-220M-openhermes
+    parameters:
+      density: 0.5
+      weight: 0.5
+  - model: BEE-spoke-data/smol_llama-220M-GQA
+    parameters:
+      density: 0.5
+      weight: 0.5
+
+merge_method: ties
+base_model: BEE-spoke-data/smol_llama-220M-openhermes
+parameters:
+  normalize: false
+  int8_mask: true
+dtype: bfloat16

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special_tokens_map.json

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tokenizer_config.json

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