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README.md

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+---
+base_model:
+- princeton-nlp/Llama-3-8B-ProLong-64k-Instruct
+- princeton-nlp/Llama-3-8B-ProLong-64k-Instruct
+- princeton-nlp/Llama-3-8B-ProLong-64k-Instruct
+- princeton-nlp/Llama-3-8B-ProLong-64k-Instruct
+tags:
+- merge
+- mergekit
+- lazymergekit
+- princeton-nlp/Llama-3-8B-ProLong-64k-Instruct
+---
+
+# Llama-3-15B-Instruct-64k
+
+Llama-3-15B-Instruct-64k is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [princeton-nlp/Llama-3-8B-ProLong-64k-Instruct](https://huggingface.co/princeton-nlp/Llama-3-8B-ProLong-64k-Instruct)
+* [princeton-nlp/Llama-3-8B-ProLong-64k-Instruct](https://huggingface.co/princeton-nlp/Llama-3-8B-ProLong-64k-Instruct)
+* [princeton-nlp/Llama-3-8B-ProLong-64k-Instruct](https://huggingface.co/princeton-nlp/Llama-3-8B-ProLong-64k-Instruct)
+* [princeton-nlp/Llama-3-8B-ProLong-64k-Instruct](https://huggingface.co/princeton-nlp/Llama-3-8B-ProLong-64k-Instruct)
+
+## 🧩 Configuration
+
+```yaml
+dtype: bfloat16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 24]
+    model: princeton-nlp/Llama-3-8B-ProLong-64k-Instruct
+- sources:
+  - layer_range: [8, 24]
+    model: princeton-nlp/Llama-3-8B-ProLong-64k-Instruct
+    parameters:
+      scale:
+      - filter: o_proj
+        value: 0.0
+      - filter: down_proj
+        value: 0.0
+      - value: 1.0
+- sources:
+  - layer_range: [8, 24]
+    model: princeton-nlp/Llama-3-8B-ProLong-64k-Instruct
+    parameters:
+      scale:
+      - filter: o_proj
+        value: 0.0
+      - filter: down_proj
+        value: 0.0
+      - value: 1.0
+- sources:
+  - layer_range: [24, 32]
+    model: princeton-nlp/Llama-3-8B-ProLong-64k-Instruct
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Ttimofeyka/Llama-3-15B-Instruct-64k"
+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": "princeton-nlp/Llama-3-8B-ProLong-64k-Instruct",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128009,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 65536,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 64,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 8000000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.2",
+  "use_cache": true,
+  "vocab_size": 128256
+}

mergekit_config.yml

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+
+dtype: bfloat16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 24]
+    model: princeton-nlp/Llama-3-8B-ProLong-64k-Instruct
+- sources:
+  - layer_range: [8, 24]
+    model: princeton-nlp/Llama-3-8B-ProLong-64k-Instruct
+    parameters:
+      scale:
+      - filter: o_proj
+        value: 0.0
+      - filter: down_proj
+        value: 0.0
+      - value: 1.0
+- sources:
+  - layer_range: [8, 24]
+    model: princeton-nlp/Llama-3-8B-ProLong-64k-Instruct
+    parameters:
+      scale:
+      - filter: o_proj
+        value: 0.0
+      - filter: down_proj
+        value: 0.0
+      - value: 1.0
+- sources:
+  - layer_range: [24, 32]
+    model: princeton-nlp/Llama-3-8B-ProLong-64k-Instruct

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special_tokens_map.json

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+}

tokenizer_config.json

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+  "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": true,
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+  "pad_token": "!",
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}