Updated Readme

README.md

@@ -1,217 +1,108 @@
 ---
-language:
-- en
-pipeline_tag: text-generation
-tags:
-- facebook
-- meta
-- pytorch
-- llama
-- llama-3
+library_name: transformers
 license: other
 license_name: llama3
 license_link: LICENSE
-extra_gated_prompt: >-
-  ### META LLAMA 3 COMMUNITY LICENSE AGREEMENT
-
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-extra_gated_fields:
-  First Name: text
-  Last Name: text
-  Date of birth: date_picker
-  Country: country
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-  geo: ip_location  
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-widget:
-  - example_title: Hello
-    messages:
-    - role: user
-      content: Hey my name is Julien! How are you?
-  - example_title: Winter holidays
-    messages:
-    - role: system
-      content: You are a helpful and honest assistant. Please, respond concisely and truthfully.
-    - role: user
-      content: Can you recommend a good destination for Winter holidays?
-  - example_title: Programming assistant
-    messages:
-    - role: system
-      content: You are a helpful and honest code and programming assistant. Please, respond concisely and truthfully.
-    - role: user
-      content: Write a function that computes the nth fibonacci number.
-inference:
-  parameters:
-    max_new_tokens: 300
-    stop:
-    - <|end_of_text|>
-    - <|eot_id|>
+pipeline_tag: text-generation
+tags:
+- GGUF
+- llama-3
+- llama
+- Q4_K_M
+- Q5_K_M
+- meta
+- facebook
+- quantized
+- 8b
 ---
 
+# Model Card for alokabhishek/Meta-Llama-3-8B-Instruct-GGUF
+
+<!-- Provide a quick summary of what the model is/does. -->
+This repo GGUF quantized version of Meta's meta-llama/Meta-Llama-3-8B-Instruct model using llama.cpp.
+
+
 ## Model Details
 
+- Model creator: [Meta](https://huggingface.co/meta-llama)
+- Original model: [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
+
+
+### About GGUF quantization using llama.cpp 
+
+- llama.cpp github repo: [llama.cpp github repo](https://github.com/ggerganov/llama.cpp)
+- llama-cpp-python github repo: [llama-cpp-python](https://github.com/abetlen/llama-cpp-python)
+
+
+
+# How to Get Started with the Model
+
+Use the code below to get started with the model. This code uses llama-cpp-python 
+
+
+```python
+
+import time
+import os
+import dotenv
+import json
+import torch
+from torch import bfloat16
+from llama_cpp import Llama, llama_tokenize, LlamaGrammar
+from inference.chat_prompt_format_util import formatted_chat_prompt
+from huggingface_hub import login, HfApi
+from transformers import (
+    AutoTokenizer,
+    AutoModelForCausalLM,
+    pipeline,
+)
+
+prompt_instruction = "You are a helpful, and fun loving assistant. Always answer as jestfully as possible."
+user_question = "Why is Hulk always Angry?"
+chat_messages = [
+    {"role": "system", "content": str(prompt_instruction)},
+    {"role": "user", "content": str(user_question)},
+]
+
+model_id = "alokabhishek/Meta-Llama-3-8B-Instruct-GGUF"
+model_file = "meta-llama-3-8b-instruct.Q4_K_M.gguf"
+tokenizer = AutoTokenizer.from_pretrained(model_id, use_fast=True)
+
+model_name = Llama.from_pretrained(
+    repo_id=model_id,
+    filename=model_file,
+    verbose=False,
+)
+
+terminators = [
+    "<|end_of_text|>",
+    "<|eot_id|>",
+    "assistant\n\n",
+]
+
+
+llm_response = model_name.create_chat_completion(
+    messages=chat_messages,
+    max_tokens=1024,
+    temperature=1,
+    top_k=50,
+    top_p=1,
+    stop=terminators,
+)
+
+
+print("\nllm_response: ", llm_response)
+
+llm_answer = llm_response["choices"][0]["message"]["content"]
+
+print("\nllm_answer: ", llm_answer)
+
+```
+
+
+
+## Original Meta's Llama-3 Model Card:
+
 Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source chat models on common industry benchmarks. Further, in developing these models, we took great care to optimize helpfulness and safety. 
 
 **Model developers** Meta