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Model: johnsnowlabs/JSL-MedLlama-3-8B-v2.0
Source: Original Platform

.gitattributes

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README.md

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+---
+tags:
+- llama-3-8b
+- sft
+- medical
+base_model:
+- meta-llama/Meta-Llama-3-8B
+license: cc-by-nc-nd-4.0
+---
+
+# JSL-MedLlama-3-8B-v2.0
+[<img src="https://repository-images.githubusercontent.com/104670986/2e728700-ace4-11ea-9cfc-f3e060b25ddf">](http://www.johnsnowlabs.com)
+
+
+This model is developed by [John Snow Labs](https://www.johnsnowlabs.com/).
+
+This model is available under a [CC-BY-NC-ND](https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en) license and must also conform to this [Acceptable Use Policy](https://huggingface.co/johnsnowlabs). If you need to license  this model for commercial use, please contact us at info@johnsnowlabs.com.
+
+
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "johnsnowlabs/JSL-MedLlama-3-8B-v2.0"
+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"])
+```
+## 🏆 Evaluation
+
+|             Tasks             |Version|Filter|n-shot| Metric |Value |   |Stderr|
+|-------------------------------|-------|------|-----:|--------|-----:|---|-----:|
+|stem                           |N/A    |none  |     0|acc     |0.6466|±  |0.0056|
+|                               |       |none  |     0|acc_norm|0.6124|±  |0.0066|
+| - medmcqa                     |Yaml   |none  |     0|acc     |0.6118|±  |0.0075|
+|                               |       |none  |     0|acc_norm|0.6118|±  |0.0075|
+| - medqa_4options              |Yaml   |none  |     0|acc     |0.6143|±  |0.0136|
+|                               |       |none  |     0|acc_norm|0.6143|±  |0.0136|
+| - anatomy (mmlu)              |      0|none  |     0|acc     |0.7185|±  |0.0389|
+| - clinical_knowledge (mmlu)   |      0|none  |     0|acc     |0.7811|±  |0.0254|
+| - college_biology (mmlu)      |      0|none  |     0|acc     |0.8264|±  |0.0317|
+| - college_medicine (mmlu)     |      0|none  |     0|acc     |0.7110|±  |0.0346|
+| - medical_genetics (mmlu)     |      0|none  |     0|acc     |0.8300|±  |0.0378|
+| - professional_medicine (mmlu)|      0|none  |     0|acc     |0.7868|±  |0.0249|
+| - pubmedqa                    |      1|none  |     0|acc     |0.7420|±  |0.0196|
+
+|Groups|Version|Filter|n-shot| Metric |Value |   |Stderr|
+|------|-------|------|-----:|--------|-----:|---|-----:|
+|stem  |N/A    |none  |     0|acc     |0.6466|±  |0.0056|
+|      |       |none  |     0|acc_norm|0.6124|±  |0.0066|

config.json

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+{
+  "_name_or_path": "aaditya/Llama3-OpenBioLLM-8B",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.1",
+  "use_cache": false,
+  "vocab_size": 128256
+}

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|end_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|end_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}