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README.md

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+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- epfl-llm/meditron-7b
+- microsoft/Orca-2-7b
+---
+
+# Medica-7b-slerp
+
+Medica-7b-slerp is a merge of the following models:
+* [epfl-llm/meditron-7b](https://huggingface.co/epfl-llm/meditron-7b)
+* [microsoft/Orca-2-7b](https://huggingface.co/microsoft/Orca-2-7b)
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: epfl-llm/meditron-7b
+        layer_range: [0, 32]
+      - model: microsoft/Orca-2-7b
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: epfl-llm/meditron-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 # fallback for rest of tensors
+dtype: float16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Technoculture/Medica-7b-slerp"
+messages = [{"role": "user", "content": "I am feeling sleepy these days"}]
+
+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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+{
+  "<CLS>": 32000,
+  "<EOD>": 32002,
+  "<MASK>": 32003,
+  "<PAD>": 32004,
+  "<SEP>": 32001,
+  "[/bib]": 32010,
+  "[/bib_ref]": 32006,
+  "[/fig]": 32012,
+  "[/fig_ref]": 32008,
+  "[/formula]": 32016,
+  "[/table]": 32014,
+  "[bib]": 32009,
+  "[bib_ref]": 32005,
+  "[fig]": 32011,
+  "[fig_ref]": 32007,
+  "[formula]": 32015,
+  "[table]": 32013
+}

config.json

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+{
+  "_name_or_path": "epfl-llm/meditron-7b",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 32017
+}

mergekit_config.yml

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+
+slices:
+  - sources:
+      - model: epfl-llm/meditron-7b
+        layer_range: [0, 32]
+      - model: microsoft/Orca-2-7b
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: epfl-llm/meditron-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 # fallback for rest of tensors
+dtype: float16

model-00001-of-00002.safetensors

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model-00002-of-00002.safetensors

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model.safetensors.index.json

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