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README.md

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+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- raincandy-u/phillama-3.8b-v1
+base_model:
+- raincandy-u/phillama-3.8b-v1
+- raincandy-u/phillama-3.8b-v1
+---
+
+# phillama-prune3
+
+phillama-prune3 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [raincandy-u/phillama-3.8b-v1](https://huggingface.co/raincandy-u/phillama-3.8b-v1)
+* [raincandy-u/phillama-3.8b-v1](https://huggingface.co/raincandy-u/phillama-3.8b-v1)
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: raincandy-u/phillama-3.8b-v1
+        layer_range: [0, 22]
+  - sources:
+      - model: raincandy-u/phillama-3.8b-v1
+        layer_range: [26, 32]
+merge_method: passthrough
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "aipib/phillama-prune3"
+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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+{
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+  "<|/data|>": 32033,
+  "<|/inst|>": 32037,
+  "<|/query|>": 32031,
+  "<|/sys|>": 32035,
+  "<|assistant_mask|>": 32017,
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+  "<|code|>": 32013,
+  "<|continue|>": 32009,
+  "<|data|>": 32032,
+  "<|diff_marker|>": 32025,
+  "<|disc_sep|>": 32029,
+  "<|disc_start|>": 32028,
+  "<|disc_thread|><|query|>": 32030,
+  "<|endoftext|>": 32000,
+  "<|end|>": 32007,
+  "<|fim_middle|>": 32021,
+  "<|fim_prefix|>": 32020,
+  "<|fim_suffix|>": 32022,
+  "<|function_call|>": 32005,
+  "<|function_list|>": 32011,
+  "<|function_output|>": 32003,
+  "<|ghissue|>": 32026,
+  "<|ghreview|>": 32027,
+  "<|inst|>": 32036,
+  "<|ipynb_marker|>": 32024,
+  "<|message|>": 32019,
+  "<|meta_start|>": 32023,
+  "<|raw|>": 32008,
+  "<|resource|>": 32016,
+  "<|start|>": 32018,
+  "<|step|>": 32002,
+  "<|summary|>": 32015,
+  "<|system|>": 32006,
+  "<|sys|>": 32034,
+  "<|tag|>": 32004,
+  "<|user|>": 32010
+}

config.json

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+{
+  "_name_or_path": "raincandy-u/phillama-3.8b-v1",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "sliding_window": 2047,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.1",
+  "use_cache": true,
+  "vocab_size": 32064
+}

mergekit_config.yml

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+
+slices:
+  - sources:
+      - model: raincandy-u/phillama-3.8b-v1
+        layer_range: [0, 22]
+  - sources:
+      - model: raincandy-u/phillama-3.8b-v1
+        layer_range: [26, 32]
+merge_method: passthrough
+dtype: bfloat16

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special_tokens_map.json

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