Delete .ipynb_checkpoints

.ipynb_checkpoints/README-checkpoint.md

@@ -1,58 +0,0 @@
----
-tags:
-- merge
-- mergekit
-- lazymergekit
-- aaditya/Llama3-OpenBioLLM-8B
-base_model:
-- aaditya/Llama3-OpenBioLLM-8B
----
-
-# Llama-3-Galen-8B-32k-v1
-
-Llama-3-Galen-8B-32k-v1 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
-* [aaditya/Llama3-OpenBioLLM-8B](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B)
-
-> **This model is capable of handling a context size of 32K right out of the box, thanks to its Dynamic RoPE scaling.**
-
-## 🧩 Configuration
-
-```yaml
-models:
-  - model: johnsnowlabs/JSL-MedLlama-3-8B-v2.0
-    # No parameters necessary for base model
-  - model: aaditya/Llama3-OpenBioLLM-8B
-    parameters:
-      density: 0.53
-      weight: 0.5
-merge_method: dare_ties
-base_model: johnsnowlabs/JSL-MedLlama-3-8B-v2.0
-parameters:
-  int8_mask: true
-dtype: bfloat16
-```
-
-## 💻 Usage
-
-```python
-!pip install -qU transformers accelerate
-
-from transformers import AutoTokenizer
-import transformers
-import torch
-
-model = "abhinand/Llama-3-Galen-8B-32k-v1"
-messages = [{"role": "user", "content": "How long does it take to recover from COVID-19?"}]
-
-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"])
-```

.ipynb_checkpoints/config-checkpoint.json

@@ -1,31 +0,0 @@
-{
-  "_name_or_path": "johnsnowlabs/JSL-MedLlama-3-8B-v2.0",
-  "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": {
-      "type": "dynamic",
-      "factor": 4.0
-  },
-  "rope_theta": 500000.0,
-  "tie_word_embeddings": false,
-  "torch_dtype": "bfloat16",
-  "transformers_version": "4.39.3",
-  "use_cache": false,
-  "vocab_size": 128256
-}