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README.md

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+---
+base_model:
+- kcoopermiller/llm-jp-1.3b-v1.0-aya
+- llm-jp/llm-jp-1.3b-v1.0
+tags:
+- merge
+- mergekit
+- lazymergekit
+- kcoopermiller/llm-jp-1.3b-v1.0-aya
+- llm-jp/llm-jp-1.3b-v1.0
+---
+
+# llmjp-dareties
+
+llmjp-dareties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [kcoopermiller/llm-jp-1.3b-v1.0-aya](https://huggingface.co/kcoopermiller/llm-jp-1.3b-v1.0-aya)
+* [llm-jp/llm-jp-1.3b-v1.0](https://huggingface.co/llm-jp/llm-jp-1.3b-v1.0)
+
+## 🧩 Configuration
+
+```yaml
+slices:
+- sources:
+  - layer_range: [0, 24]
+    model: kcoopermiller/llm-jp-1.3b-v1.0-aya
+    parameters:
+      density: [1, 0.7, 0.1]
+      weight: 1.0
+  - layer_range: [0, 24]
+    model: llm-jp/llm-jp-1.3b-v1.0
+    parameters:
+      density: 0.33
+      weight:
+        - filter: mlp
+          value: 0.5
+        - value: 0
+merge_method: dare_ties
+base_model: llm-jp/llm-jp-1.3b-v1.0
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "aipib/llmjp-dareties"
+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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+{
+  "<unk>": 44876
+}

config.json

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+{
+  "_name_or_path": "llm-jp/llm-jp-1.3b-v1.0",
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 7,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 7,
+  "gradient_checkpointing": false,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 2048,
+  "n_head": 16,
+  "n_inner": 8192,
+  "n_layer": 24,
+  "n_positions": 2048,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.2",
+  "use_cache": true,
+  "vocab_size": 50688
+}

mergekit_config.yml

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+
+slices:
+- sources:
+  - layer_range: [0, 24]
+    model: kcoopermiller/llm-jp-1.3b-v1.0-aya
+    parameters:
+      density: [1, 0.7, 0.1]
+      weight: 1.0
+  - layer_range: [0, 24]
+    model: llm-jp/llm-jp-1.3b-v1.0
+    parameters:
+      density: 0.33
+      weight:
+        - filter: mlp
+          value: 0.5
+        - value: 0
+merge_method: dare_ties
+base_model: llm-jp/llm-jp-1.3b-v1.0
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: bfloat16

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special_tokens_map.json

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+{
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+}

spiece.model

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+size 1044749

tokenizer_config.json

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