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diff --git a/README.md b/README.md
index e6f0488..9da1d5c 100644
--- a/README.md
+++ b/README.md
@@ -1,99 +1,99 @@
----
-base_model: meta-llama/Llama-3.2-1B-Instruct
-license: llama3.2
-model_creator: meta
-model_name: Llama-3.2-1B-Instruct
-quantized_by: Second State Inc.
-language:
-- en
-- de
-- fr
-- it
-- pt
-- hi
-- es
-- th
-library_name: transformers
-pipeline_tag: text-generation
-tags:
-- chat
-- llama
-- llama-3
----
-
-
-
-
-

-
-
-
-
-# Llama-3.2-1B-Instruct-GGUF
-
-## Original Model
-
-[meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct)
-
-## Run with LlamaEdge
-
-- LlamaEdge version: [v0.14.5](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.5) and above
-
-- Prompt template
-
- - Prompt type: `llama-3-chat`
-
- - Prompt string
-
- ```text
- <|begin_of_text|><|start_header_id|>system<|end_header_id|>
-
- {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
-
- {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
-
- {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
-
- {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
- ```
-
-- Context size: `128000`
-
-- Run as LlamaEdge service
-
- ```bash
- wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3.2-1B-Instruct-Q5_K_M.gguf \
- llama-api-server.wasm \
- --prompt-template llama-3-chat \
- --ctx-size 128000 \
- --model-name Llama-3.2-1b
- ```
-
-- Run as LlamaEdge command app
-
- ```bash
- wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3.2-1B-Instruct-Q5_K_M.gguf \
- llama-chat.wasm \
- --prompt-template llama-3-chat \
- --ctx-size 128000
- ```
-
-## Quantized GGUF Models
-
-| Name | Quant method | Bits | Size | Use case |
-| ---- | ---- | ---- | ---- | ----- |
-| [Llama-3.2-1B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q2_K.gguf) | Q2_K | 2 | 581 MB| smallest, significant quality loss - not recommended for most purposes |
-| [Llama-3.2-1B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 733 MB| small, substantial quality loss |
-| [Llama-3.2-1B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 691 MB| very small, high quality loss |
-| [Llama-3.2-1B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 642 MB| very small, high quality loss |
-| [Llama-3.2-1B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 771 MB| legacy; small, very high quality loss - prefer using Q3_K_M |
-| [Llama-3.2-1B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 808 MB| medium, balanced quality - recommended |
-| [Llama-3.2-1B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 776 MB| small, greater quality loss |
-| [Llama-3.2-1B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 893 MB| legacy; medium, balanced quality - prefer using Q4_K_M |
-| [Llama-3.2-1B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 912 MB| large, very low quality loss - recommended |
-| [Llama-3.2-1B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 893 MB| large, low quality loss - recommended |
-| [Llama-3.2-1B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q6_K.gguf) | Q6_K | 6 | 1.02 GB| very large, extremely low quality loss |
-| [Llama-3.2-1B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q8_0.gguf) | Q8_0 | 8 | 1.32 GB| very large, extremely low quality loss - not recommended |
-| [Llama-3.2-1B-Instruct-f16.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-f16.gguf) | f16 | 16 | 2.48 GB| |
-
-*Quantized with llama.cpp b3807*
+---
+base_model: meta-llama/Llama-3.2-1B-Instruct
+license: llama3.2
+model_creator: meta
+model_name: Llama-3.2-1B-Instruct
+quantized_by: Second State Inc.
+language:
+- en
+- de
+- fr
+- it
+- pt
+- hi
+- es
+- th
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- chat
+- llama
+- llama-3
+---
+
+
+
+
+

+
+
+
+
+# Llama-3.2-1B-Instruct-GGUF
+
+## Original Model
+
+[meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct)
+
+## Run with LlamaEdge
+
+- LlamaEdge version: [v0.16.5](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.16.5) and above
+
+- Prompt template
+
+ - Prompt type: `llama-3-chat`
+
+ - Prompt string
+
+ ```text
+ <|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+ {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+ {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+ {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+ {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+ ```
+
+- Context size: `128000`
+
+- Run as LlamaEdge service
+
+ ```bash
+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3.2-1B-Instruct-Q5_K_M.gguf \
+ llama-api-server.wasm \
+ --prompt-template llama-3-chat \
+ --ctx-size 128000 \
+ --model-name Llama-3.2-1b
+ ```
+
+- Run as LlamaEdge command app
+
+ ```bash
+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3.2-1B-Instruct-Q5_K_M.gguf \
+ llama-chat.wasm \
+ --prompt-template llama-3-chat \
+ --ctx-size 128000
+ ```
+
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [Llama-3.2-1B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q2_K.gguf) | Q2_K | 2 | 581 MB| smallest, significant quality loss - not recommended for most purposes |
+| [Llama-3.2-1B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 733 MB| small, substantial quality loss |
+| [Llama-3.2-1B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 691 MB| very small, high quality loss |
+| [Llama-3.2-1B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 642 MB| very small, high quality loss |
+| [Llama-3.2-1B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 771 MB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Llama-3.2-1B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 808 MB| medium, balanced quality - recommended |
+| [Llama-3.2-1B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 776 MB| small, greater quality loss |
+| [Llama-3.2-1B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 893 MB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Llama-3.2-1B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 912 MB| large, very low quality loss - recommended |
+| [Llama-3.2-1B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 893 MB| large, low quality loss - recommended |
+| [Llama-3.2-1B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q6_K.gguf) | Q6_K | 6 | 1.02 GB| very large, extremely low quality loss |
+| [Llama-3.2-1B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-Q8_0.gguf) | Q8_0 | 8 | 1.32 GB| very large, extremely low quality loss - not recommended |
+| [Llama-3.2-1B-Instruct-f16.gguf](https://huggingface.co/second-state/Llama-3.2-1B-Instruct-GGUF/blob/main/Llama-3.2-1B-Instruct-f16.gguf) | f16 | 16 | 2.48 GB| |
+
+*Quantized with llama.cpp b4466*