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README.md

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+---
+license: cc-by-nc-4.0
+tags:
+- merge
+- mergekit
+- lazymergekit
+- automerger
+---
+
+## 🧩 Configuration
+```yaml
+#slices:
+#  - sources:
+#      - model: liminerity/M7-7b
+#        layer_range: [0, 32]
+#      - model: AurelPx/Percival_01-7b-slerp
+#        layer_range: [0, 32]
+#merge_method: slerp
+#base_model: liminerity/M7-7b
+#parameters:
+#  t:
+#    - filter: self_attn
+#      value: [0.729086620552417, 0.4742644222549576, 0.47065411083849984, 0.9373988134098882, 0.6820526568624088]
+#    - filter: mlp
+#      value: [0.270913379447583, 0.5257355777450424, 0.06260118659011182, 0.06260118659011182, 0.3179473431375912]
+#    - value: 0.8480269455484635
+#dtype: bfloat16
+#random_seed: 0
+
+#slices:
+#  - sources:
+#      - model: psmathur/orca_mini_v3_13b
+#        layer_range: [0, 40]
+#      - model: garage-bAInd/Platypus2-7b 
+#        layer_range: [0, 32]
+#merge_method: slerp
+#base_model: psmathur/orca_mini_v3_13b
+#parameters:
+#  t:
+#    - filter: self_attn
+#      value: [0.729086620552417, 0.4742644222549576, 0.47065411083849984, 0.9373988134098882, 0.6820526568624088]
+#    - filter: mlp
+#      value: [0.270913379447583, 0.5257355777450424, 0.5293458891615002, 0.06260118659011182, 0.3179473431375912]
+#    - value: 0.8480269455484635
+#dtype: float16
+#random_seed: 0
+
+#slices:
+#  - sources:
+#    - model: psmathur/orca_mini_v3_13b
+#      parameters:
+#        density: [1, 0.7, 0.1] # density gradient
+#        weight: 1.0
+#    - model: garage-bAInd/Platypus2-13B
+#      parameters:
+#        density: 0.5
+#        weight: [0, 0.3, 0.7, 1] # weight gradient
+#    - model: WizardLM/WizardMath-13B-V1.0
+#      parameters:
+#        density: 0.33
+#        weight:
+#          - filter: mlp
+#            value: 0.5
+#          - value: 0
+#merge_method: ties
+#base_model: TheBloke/Llama-2-13B-fp16
+#parameters:
+#  normalize: true
+#  int8_mask: true
+#dtype: float16
+#random_seed: 0
+
+base_model: mlabonne/AlphaMonarch-7B
+experts:
+  - source_model: mlabonne/AlphaMonarch-7B
+    positive_prompts:
+    - "chat"
+    - "assistant"
+    - "tell me"
+    - "explain"
+    - "I want"
+  - source_model: beowolx/CodeNinja-1.0-OpenChat-7B
+    positive_prompts:
+    - "code"
+    - "python"
+    - "javascript"
+    - "programming"
+    - "algorithm"
+    ```
+## 💻 Usage
+```python
+!pip install -qU transformers accelerate
+from transformers import AutoTokenizer
+import transformers
+import torch
+model = "EthanLiu1991/BioMedGPT"
+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"])
+```

biomedgpt.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:146b78b8eb19ea6de4355cc11fb502157f6e4c63b24850925b5fc7378c38ef4d
+size 19214580994