Updated Readme

README.md

@@ -1,217 +1,87 @@
 ---
-language:
-- en
-pipeline_tag: text-generation
+library_name: transformers
 tags:
-- facebook
-- meta
-- pytorch
+- 6bit
 - llama
 - llama-3
+- facebook
+- meta
+- 8b
+- quantized
+- ExLlamaV2
+- quantized
+- exl2
+- 6.0-bpw
 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
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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
 ---
 
+# Model Card for alokabhishek/Meta-Llama-3-8B-Instruct-6.0-bpw-exl2
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This repo contains 6-bit quantized (using ExLlamaV2) model of Meta's meta-llama/Meta-Llama-3-8B-Instruct
+
 ## 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 6 bit quantization using ExLlamaV2
+
+
+- ExLlamaV2 github repo: [ExLlamaV2 github repo](https://github.com/turboderp/exllamav2)
+
+
+# How to Get Started with the Model ExLlamaV2
+
+Use the code below to get started with the model.
+I will update the python code to inference later. 
+
+
+## How to run the model using 
+
+#### First install the package
+```shell
+# Install ExLLamaV2
+git clone https://github.com/turboderp/exllamav2
+cd exllamav2
+pip install -r requirements.txt
+pip install .
+```
+
+
+#### set up variables
+
+```python
+# Define the model ID for the desired model
+model_id = "alokabhishek/Meta-Llama-3-8B-Instruct-6.0-bpw-exl2"
+
+# define variables
+model_name =  model_id.split("/")[-1]
+
+```
+
+#### Download the quantized model
+```shell
+!git-lfs install
+# download the model to loacl directory
+!git clone https://{username}:{HF_TOKEN}@huggingface.co/{model_id} {model_name}
+```
+
+#### Run Inference on quantized model using chat template
+```shell
+# Run model
+# change the path of the model 
+python examples/chat.py -m "../quant/alokabhishek/Meta-Llama-3-8B-Instruct-6.0-bpw-exl2" -mode llama3
+```
+
+
+## Original Model Card by Meta:
+
 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