second-state
/

glm-4-9b-chat-1m-GGUF

@@ -1,92 +1,92 @@
----
-license: other
-license_name: glm-4
-license_link: https://huggingface.co/THUDM/glm-4-9b-chat-1m/blob/main/LICENSE
-inference: false
-base_model: THUDM/glm-4-9b-chat-1m
-model_creator: THUDM
-model_name: glm-4-9b-chat-1m
-quantized_by: Second State Inc.
-language:
-- zh
-- en
-tags:
-- glm
-- chatglm
-- thudm
----
-<!-- header start -->
-<!-- 200823 -->
-<div style="width: auto; margin-left: auto; margin-right: auto">
-<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
-</div>
-<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
-<!-- header end -->
-# glm-4-9b-chat-1m-GGUF
-## Original Model
-[THUDM/glm-4-9b-chat-1m](https://huggingface.co/THUDM/glm-4-9b-chat-1m)
-## Run with LlamaEdge
-- LlamaEdge version: coming soon
-<!-- - LlamaEdge version: [v0.12.1](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.1) and above
-- Prompt template
-  - Prompt type: `gemma-instruct`
-  - Prompt string
-    ```text
-    <bos><start_of_turn>user
-    {user_message}<end_of_turn>
-    <start_of_turn>model
-    {model_message}<end_of_turn>model
-    ``` -->
-- Context size: `1000000`
-<!-- - Run as LlamaEdge service
-  ```bash
-  wasmedge --dir .:. --nn-preload default:GGML:AUTO:glm-4-9b-chat-1m-Q5_K_M.gguf \
-    llama-api-server.wasm \
-    --prompt-template phi-3-chat \
-    --ctx-size 128000 \
-    --model-name glm-4-9b-chat-1m
-  ```
-- Run as LlamaEdge command app
-  ```bash
-  wasmedge --dir .:. \
-    --nn-preload default:GGML:AUTO:glm-4-9b-chat-1m-Q5_K_M.gguf \
-    llama-chat.wasm \
-    --prompt-template phi-3-chat \
-    --ctx-size 128000
-  ``` -->
-## Quantized GGUF Models
-| Name | Quant method | Bits | Size | Use case |
-| ---- | ---- | ---- | ---- | ----- |
-| [glm-4-9b-chat-1m-Q2_K.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q2_K.gguf)     | Q2_K   | 2 | 3.99 GB| smallest, significant quality loss - not recommended for most purposes |
-| [glm-4-9b-chat-1m-Q3_K_L.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q3_K_L.gguf) | Q3_K_L | 3 | 5.28 GB| small, substantial quality loss |
-| [glm-4-9b-chat-1m-Q3_K_M.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q3_K_M.gguf) | Q3_K_M | 3 | 5.06 GB| very small, high quality loss |
-| [glm-4-9b-chat-1m-Q3_K_S.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q3_K_S.gguf) | Q3_K_S | 3 | 4.59 GB| very small, high quality loss |
-| [glm-4-9b-chat-1m-Q4_0.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q4_0.gguf)     | Q4_0   | 4 | 5.46 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
-| [glm-4-9b-chat-1m-Q4_K_M.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q4_K_M.gguf) | Q4_K_M | 4 | 6.25 GB| medium, balanced quality - recommended |
-| [glm-4-9b-chat-1m-Q4_K_S.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q4_K_S.gguf) | Q4_K_S | 4 | 5.75 GB| small, greater quality loss |
-| [glm-4-9b-chat-1m-Q5_0.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q5_0.gguf)     | Q5_0   | 5 | 6.55 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
-| [glm-4-9b-chat-1m-Q5_K_M.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q5_K_M.gguf) | Q5_K_M | 5 | 7.14 GB| large, very low quality loss - recommended |
-| [glm-4-9b-chat-1m-Q5_K_S.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q5_K_S.gguf) | Q5_K_S | 5 | 6.69 GB| large, low quality loss - recommended |
-| [glm-4-9b-chat-1m-Q6_K.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q6_K.gguf)     | Q6_K   | 6 | 8.26 GB| very large, extremely low quality loss |
-| [glm-4-9b-chat-1m-Q8_0.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q8_0.gguf)     | Q8_0   | 8 | 9.99 GB| very large, extremely low quality loss - not recommended |
-| [glm-4-9b-chat-1m-f16.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-f16.gguf)       | f16    | 16 | 18.8 GB|  |
 *Quantized with llama.cpp b3333*

+---
+license: other
+license_name: glm-4
+license_link: https://huggingface.co/THUDM/glm-4-9b-chat-1m/blob/main/LICENSE
+inference: false
+base_model: THUDM/glm-4-9b-chat-1m
+model_creator: THUDM
+model_name: glm-4-9b-chat-1m
+quantized_by: Second State Inc.
+language:
+- zh
+- en
+tags:
+- glm
+- chatglm
+- thudm
+---
+<!-- header start -->
+<!-- 200823 -->
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
+<!-- header end -->
+# glm-4-9b-chat-1m-GGUF
+## Original Model
+[THUDM/glm-4-9b-chat-1m](https://huggingface.co/THUDM/glm-4-9b-chat-1m)
+## Run with LlamaEdge
+- LlamaEdge version: coming soon
+<!-- - LlamaEdge version: [v0.12.1](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.1) and above -->
+- Prompt template
+  - Prompt type: `glm-4-chat`
+  - Prompt string
+    ```text
+    [gMASK]<|system|>
+    {system_message}<|user|>
+    {user_message_1}<|assistant|>
+    {assistant_message_1}
+    ```
+- Context size: `1000000`
+- Run as LlamaEdge service
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:glm-4-9b-chat-1m-Q5_K_M.gguf \
+    llama-api-server.wasm \
+    --prompt-template glm-4-chat \
+    --ctx-size 1000000 \
+    --model-name glm-4-9b-chat-1m
+  ```
+- Run as LlamaEdge command app
+  ```bash
+  wasmedge --dir .:. \
+    --nn-preload default:GGML:AUTO:glm-4-9b-chat-1m-Q5_K_M.gguf \
+    llama-chat.wasm \
+    --prompt-template glm-4-chat \
+    --ctx-size 1000000
+  ```
+## Quantized GGUF Models
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [glm-4-9b-chat-1m-Q2_K.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q2_K.gguf)     | Q2_K   | 2 | 3.99 GB| smallest, significant quality loss - not recommended for most purposes |
+| [glm-4-9b-chat-1m-Q3_K_L.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q3_K_L.gguf) | Q3_K_L | 3 | 5.28 GB| small, substantial quality loss |
+| [glm-4-9b-chat-1m-Q3_K_M.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q3_K_M.gguf) | Q3_K_M | 3 | 5.06 GB| very small, high quality loss |
+| [glm-4-9b-chat-1m-Q3_K_S.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q3_K_S.gguf) | Q3_K_S | 3 | 4.59 GB| very small, high quality loss |
+| [glm-4-9b-chat-1m-Q4_0.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q4_0.gguf)     | Q4_0   | 4 | 5.46 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [glm-4-9b-chat-1m-Q4_K_M.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q4_K_M.gguf) | Q4_K_M | 4 | 6.25 GB| medium, balanced quality - recommended |
+| [glm-4-9b-chat-1m-Q4_K_S.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q4_K_S.gguf) | Q4_K_S | 4 | 5.75 GB| small, greater quality loss |
+| [glm-4-9b-chat-1m-Q5_0.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q5_0.gguf)     | Q5_0   | 5 | 6.55 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [glm-4-9b-chat-1m-Q5_K_M.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q5_K_M.gguf) | Q5_K_M | 5 | 7.14 GB| large, very low quality loss - recommended |
+| [glm-4-9b-chat-1m-Q5_K_S.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q5_K_S.gguf) | Q5_K_S | 5 | 6.69 GB| large, low quality loss - recommended |
+| [glm-4-9b-chat-1m-Q6_K.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q6_K.gguf)     | Q6_K   | 6 | 8.26 GB| very large, extremely low quality loss |
+| [glm-4-9b-chat-1m-Q8_0.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-Q8_0.gguf)     | Q8_0   | 8 | 9.99 GB| very large, extremely low quality loss - not recommended |
+| [glm-4-9b-chat-1m-f16.gguf](https://huggingface.co/second-state/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m-f16.gguf)       | f16    | 16 | 18.8 GB|  |
 *Quantized with llama.cpp b3333*