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README.md

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+---
+base_model:
+- line-corporation/japanese-large-lm-1.7b-instruction-sft
+- line-corporation/japanese-large-lm-1.7b
+tags:
+- merge
+- mergekit
+- lazymergekit
+- line-corporation/japanese-large-lm-1.7b-instruction-sft
+- line-corporation/japanese-large-lm-1.7b
+---
+
+# line-slerp2
+
+line-slerp2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [line-corporation/japanese-large-lm-1.7b-instruction-sft](https://huggingface.co/line-corporation/japanese-large-lm-1.7b-instruction-sft)
+* [line-corporation/japanese-large-lm-1.7b](https://huggingface.co/line-corporation/japanese-large-lm-1.7b)
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: line-corporation/japanese-large-lm-1.7b-instruction-sft
+        layer_range: [0, 24]
+      - model: line-corporation/japanese-large-lm-1.7b
+        layer_range: [0, 24]
+merge_method: slerp
+base_model: line-corporation/japanese-large-lm-1.7b
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "aipib/line-slerp2"
+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": "line-corporation/japanese-large-lm-1.7b",
+  "activation_function": "gelu",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 1,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 2048,
+  "n_embd": 2304,
+  "n_head": 24,
+  "n_inner": 9216,
+  "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": 51200
+}

mergekit_config.yml

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+
+slices:
+  - sources:
+      - model: line-corporation/japanese-large-lm-1.7b-instruction-sft
+        layer_range: [0, 24]
+      - model: line-corporation/japanese-large-lm-1.7b
+        layer_range: [0, 24]
+merge_method: slerp
+base_model: line-corporation/japanese-large-lm-1.7b
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16

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special_tokens_map.json

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