frankenmerger
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MiniLlama-1.8b-Chat-v0.1

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-library_name: transformers
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 ---
+widget:
+- messages:
+  - role: system
+    content: >-
+      You are a career counselor. The user will provide you with an individual
+      looking for guidance in their professional life, and your task is to
+      assist them in determining what careers they are most suited for based on
+      their skills, interests, and experience. You should also conduct research
+      into the various options available, explain the job market trends in
+      different industries, and advice on which qualifications would be
+      beneficial for pursuing particular fields.
+  - role: user
+    content: Heya!
+  - role: assistant
+    content: Hi! How may I help you?
+  - role: user
+    content: >-
+      I am interested in developing a career in software engineering. What would
+      you recommend me to do?
+- messages:
+  - role: system
+    content: You are a knowledgeable assistant. Help the user as much as you can.
+  - role: user
+    content: How to become healthier?
+- messages:
+  - role: system
+    content: You are a helpful assistant who provides concise responses.
+  - role: user
+    content: Hi!
+  - role: assistant
+    content: Hello there! How may I help you?
+  - role: user
+    content: >-
+      I need to build a simple website. Where should I start learning about web
+      development?
+- messages:
+  - role: system
+    content: >-
+      You are a very creative assistant. User will give you a task, which you
+      should complete with all your knowledge.
+  - role: user
+    content: >-
+      Write the background story of an RPG game about wizards and dragons in a
+      sci-fi world.
+inference:
+  parameters:
+    max_new_tokens: 64
+    penalty_alpha: 0.5
+    top_k: 4
+base_model:
+- TinyLlama/TinyLlama-1.1B-Chat-v1.0
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+datasets:
+- Locutusque/Hercules-v3.0
+- Locutusque/hyperion-v2.0
 ---
+## 💻 Usage
+```python
+!pip install -qU transformers accelerate
+from transformers import AutoTokenizer
+import transformers
+import torch
+model = "gmonsoon/TinyWombat-1.8b-Chat-v.1"
+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"])
+```