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README.md

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+---
+base_model:
+- TechxGenus/starcoder2-3b-instruct
+tags:
+- merge
+- mergekit
+- lazymergekit
+- TechxGenus/starcoder2-3b-instruct
+---
+
+# tinyllama-merged-3
+
+tinyllama-merged-3 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [TechxGenus/starcoder2-3b-instruct](https://huggingface.co/TechxGenus/starcoder2-3b-instruct)
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: bigcode/starcoder2-3b
+    # no parameters necessary for base model
+  - model: TechxGenus/starcoder2-3b-instruct # follow user intent 
+    parameters:
+      density:
+      - filter: mlp.down_proj.4 # specifically targets the 5th layer
+        value: 0  # assign value of 0 for the 5th layer of down_proj
+      - value: 1
+      weight:
+      - filter: mlp.down_proj
+        value: [0.3, 0.25, 0.25, 0.15, 0.1]
+      - filter: mlp.gate_proj
+        value: [0.7, 0.25, 0.5, 0.45, 0.4]
+      - filter: mlp.up_proj
+        value: [0.7, 0.25, 0.5, 0.45, 0.4]
+      - filter: self_attn
+        value: [0.7, 0.25, 0.5, 0.45, 0.4]
+      - value: 1 # fallback for rest of tensors.
+tokenizer_source: union
+merge_method: dare_ties
+base_model: bigcode/starcoder2-3b
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "choprahetarth/tinyllama-merged-3"
+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": "bigcode/starcoder2-3b",
+  "architectures": [
+    "Starcoder2ForCausalLM"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 0,
+  "embedding_dropout": 0.1,
+  "eos_token_id": 0,
+  "hidden_act": "gelu_pytorch_tanh",
+  "hidden_size": 3072,
+  "initializer_range": 0.018042,
+  "intermediate_size": 12288,
+  "max_position_embeddings": 16384,
+  "mlp_type": "default",
+  "model_type": "starcoder2",
+  "norm_epsilon": 1e-05,
+  "norm_type": "layer_norm",
+  "num_attention_heads": 24,
+  "num_hidden_layers": 30,
+  "num_key_value_heads": 2,
+  "residual_dropout": 0.1,
+  "rope_theta": 999999.4420358813,
+  "sliding_window": 4096,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.2",
+  "use_bias": true,
+  "use_cache": true,
+  "vocab_size": 49152
+}

mergekit_config.yml

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+
+models:
+  - model: bigcode/starcoder2-3b
+    # no parameters necessary for base model
+  - model: TechxGenus/starcoder2-3b-instruct # follow user intent 
+    parameters:
+      density:
+      - filter: mlp.down_proj.4 # specifically targets the 5th layer
+        value: 0  # assign value of 0 for the 5th layer of down_proj
+      - value: 1
+      weight:
+      - filter: mlp.down_proj
+        value: [0.3, 0.25, 0.25, 0.15, 0.1]
+      - filter: mlp.gate_proj
+        value: [0.7, 0.25, 0.5, 0.45, 0.4]
+      - filter: mlp.up_proj
+        value: [0.7, 0.25, 0.5, 0.45, 0.4]
+      - filter: self_attn
+        value: [0.7, 0.25, 0.5, 0.45, 0.4]
+      - value: 1 # fallback for rest of tensors.
+tokenizer_source: union
+merge_method: dare_ties
+base_model: bigcode/starcoder2-3b
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: bfloat16

model-00001-of-00002.safetensors

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model-00002-of-00002.safetensors

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special_tokens_map.json

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