upodate

README.md

@@ -1,73 +1,73 @@
----
-license: apache-2.0
-tags:
-  - text-generation
-  - instruction-tuned
-  - llama
-  - gguf
-  - chatbot
-library_name: llama.cpp
-language: en
-datasets:
-  - custom
-model-index:
-  - name: Corelyn NeoH
-    results: []
----
-
-
-# Corelyn NeoH GGUF Model
-
-## Specifications :
-- Model Name: Corelyn NeoH
-- Base Name: NeoH-3.2
-- Type: Instruct / Fine-tuned
-- Architecture: LLaMA
-- Size: 3B parameters
-- Organization: Corelyn
-
-## Model Overview
-
-Corelyn NeoH is a 3-billion parameter LLaMA-based instruction-tuned model, designed for general-purpose assistant tasks and knowledge extraction. It is a fine-tuned variant optimized for instruction-following use cases.
-
-- Fine-tuning type: Instruct
-
-- Base architecture: LLaMA
-
-- Parameter count: 3B
-
-- Context length: 131,072 tokens
-
-### This model is suitable for applications such as:
-
-- Chatbots and conversational AI
-
-- Knowledge retrieval and Q&A
-
-- Code and text generation
-
-- Instruction-following tasks
-
-## Usage
-
-Download from : [NeoH3.2](https://huggingface.co/CorelynAI/NeoH/resolve/main/NeoH3.2.gguf?download=true)
-
-```python
-
-# pip install pip install llama-cpp-python
-
-from llama_cpp import Llama
-
-# Load the model (update the path to where your .gguf file is)
-llm = Llama(model_path="path/to/the/file/NeoH3.2.gguf")
-
-# Create chat completion
-response = llm.create_chat_completion(
-    messages=[{"role": "user", "content": "Create a Haiku about AI"}]
-)
-
-# Print the generated text
-print(response.choices[0].message["content"])
-
-
+---
+license: apache-2.0
+tags:
+  - text-generation
+  - instruction-tuned
+  - llama
+  - gguf
+  - chatbot
+library_name: llama.cpp
+language: en
+datasets:
+  - custom
+model-index:
+  - name: Corelyn NeoH
+    results: []
+---
+
+
+# Corelyn NeoH GGUF Model
+
+## Specifications :
+- Model Name: Corelyn NeoH
+- Base Name: NeoH-3.2
+- Type: Instruct / Fine-tuned
+- Architecture: LLaMA
+- Size: 3B parameters
+- Organization: Corelyn
+
+## Model Overview
+
+Corelyn NeoH is a 4-billion parameter LLaMA-based instruction-tuned model, designed for general-purpose assistant tasks and knowledge extraction. It is a fine-tuned variant optimized for instruction-following use cases.
+
+- Fine-tuning type: Instruct
+
+- Base architecture: LLaMA
+
+- Parameter count: 4B
+
+- Context length: 131,072 tokens
+
+### This model is suitable for applications such as:
+
+- Chatbots and conversational AI
+
+- Knowledge retrieval and Q&A
+
+- Code and text generation
+
+- Instruction-following tasks
+
+## Usage
+
+Download from : [NeoH3.2](https://huggingface.co/CorelynAI/NeoH/resolve/main/NeoH3.2.gguf?download=true)
+
+```python
+
+# pip install pip install llama-cpp-python
+
+from llama_cpp import Llama
+
+# Load the model (update the path to where your .gguf file is)
+llm = Llama(model_path="path/to/the/file/NeoH3.2.gguf")
+
+# Create chat completion
+response = llm.create_chat_completion(
+    messages=[{"role": "user", "content": "Create a Haiku about AI"}]
+)
+
+# Print the generated text
+print(response.choices[0].message["content"])
+
+
 ```