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Mistral-Nemo-Instruct-2407-GGUF

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- ---
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- license: apache-2.0
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- model_name: Mistral-Nemo-Instruct-2407
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- base_model: mistralai/Mistral-Nemo-Instruct-2407
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- inference: false
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- model_creator: mistralai
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- quantized_by: Second State Inc.
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- language:
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- - en
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- - fr
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- - de
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- - es
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- - it
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- - pt
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- - ru
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- - zh
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- - ja
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- ---
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-
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- <!-- header start -->
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- <!-- 200823 -->
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- <div style="width: auto; margin-left: auto; margin-right: auto">
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- <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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- </div>
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- <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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- <!-- header end -->
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-
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- # Mistral-Nemo-Instruct-2407-GGUF
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-
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- ## Original Model
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-
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- [mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407)
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-
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- ## Run with LlamaEdge
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-
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- - LlamaEdge version: coming soon
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-
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- <!-- - LlamaEdge version: [v0.12.3](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.3)
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-
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- - Prompt template
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-
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- - Prompt type: `mistral-instruct`
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-
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- - Prompt string
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-
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- ```text
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- <s>[INST] {user_message_1} [/INST]{assistant_message_1}</s>[INST] {user_message_2} [/INST]{assistant_message_2}</s>
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- ``` -->
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-
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- - Context size: `128000`
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-
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- <!-- - Run as LlamaEdge service
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-
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- ```bash
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- wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-Nemo-Instruct-2407-Q5_K_M.gguf \
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- llama-api-server.wasm \
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- --prompt-template mistral-instruct \
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- --ctx-size 128000 \
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- --model-name Mistral-Nemo-Instruct-2407
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- ```
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-
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- - Run as LlamaEdge command app
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-
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- ```bash
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- wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-Nemo-Instruct-2407-Q5_K_M.gguf \
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- llama-chat.wasm \
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- --prompt-template mistral-instruct \
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- --ctx-size 128000
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- ``` -->
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-
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- ## Quantized GGUF Models
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-
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- | Name | Quant method | Bits | Size | Use case |
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- | ---- | ---- | ---- | ---- | ----- |
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- | [Mistral-Nemo-Instruct-2407-Q2_K.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q2_K.gguf) | Q2_K | 2 | 4.79 GB| smallest, significant quality loss - not recommended for most purposes |
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- | [Mistral-Nemo-Instruct-2407-Q3_K_L.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q3_K_L.gguf) | Q3_K_L | 3 | 6.56 GB| small, substantial quality loss |
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- | [Mistral-Nemo-Instruct-2407-Q3_K_M.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q3_K_M.gguf) | Q3_K_M | 3 | 6.08 GB| very small, high quality loss |
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- | [Mistral-Nemo-Instruct-2407-Q3_K_S.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q3_K_S.gguf) | Q3_K_S | 3 | 5.53 GB| very small, high quality loss |
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- | [Mistral-Nemo-Instruct-2407-Q4_0.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q4_0.gguf) | Q4_0 | 4 | 7.07 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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- | [Mistral-Nemo-Instruct-2407-Q4_K_M.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q4_K_M.gguf) | Q4_K_M | 4 | 7.48 GB| medium, balanced quality - recommended |
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- | [Mistral-Nemo-Instruct-2407-Q4_K_S.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q4_K_S.gguf) | Q4_K_S | 4 | 7.12 GB| small, greater quality loss |
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- | [Mistral-Nemo-Instruct-2407-Q5_0.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q5_0.gguf) | Q5_0 | 5 | 8.52 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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- | [Mistral-Nemo-Instruct-2407-Q5_K_M.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/resolve/main/Mistral-Nemo-Instruct-2407-Q5_K_M.gguf) | Q5_K_M | 5 | 8.73 GB| large, very low quality loss - recommended |
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- | [Mistral-Nemo-Instruct-2407-Q5_K_S.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q5_K_S.gguf) | Q5_K_S | 5 | 8.52 GB| large, low quality loss - recommended |
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- | [Mistral-Nemo-Instruct-2407-Q6_K.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q6_K.gguf) | Q6_K | 6 | 10.1 GB| very large, extremely low quality loss |
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- | [Mistral-Nemo-Instruct-2407-Q8_0.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q8_0.gguf) | Q8_0 | 8 | 13.0 GB| very large, extremely low quality loss - not recommended |
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- | [Mistral-Nemo-Instruct-2407-f16.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-f16.gguf) | f16 | 16 | 24.5 GB| |
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-
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- *Quantized with llama.cpp b3405.*
 
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+ ---
2
+ license: apache-2.0
3
+ model_name: Mistral-Nemo-Instruct-2407
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+ base_model: mistralai/Mistral-Nemo-Instruct-2407
5
+ inference: false
6
+ model_creator: mistralai
7
+ quantized_by: Second State Inc.
8
+ language:
9
+ - en
10
+ - fr
11
+ - de
12
+ - es
13
+ - it
14
+ - pt
15
+ - ru
16
+ - zh
17
+ - ja
18
+ ---
19
+
20
+ <!-- header start -->
21
+ <!-- 200823 -->
22
+ <div style="width: auto; margin-left: auto; margin-right: auto">
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+ <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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+ </div>
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+ <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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+ <!-- header end -->
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+
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+ # Mistral-Nemo-Instruct-2407-GGUF
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+
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+ ## Original Model
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+
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+ [mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407)
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+
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+ ## Run with LlamaEdge
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+
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+ - LlamaEdge version: coming soon
37
+
38
+ <!-- - LlamaEdge version: [v0.12.3](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.3)
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+
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+ - Prompt template
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+
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+ - Prompt type: `mistral-instruct`
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+
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+ - Prompt string
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+
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+ ```text
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+ <s>[INST] {user_message_1} [/INST]{assistant_message_1}</s>[INST] {user_message_2} [/INST]{assistant_message_2}</s>
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+ ``` -->
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+
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+ - Context size: `128000`
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+
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+ <!-- - Run as LlamaEdge service
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+
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+ ```bash
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+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-Nemo-Instruct-2407-Q5_K_M.gguf \
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+ llama-api-server.wasm \
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+ --prompt-template mistral-instruct \
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+ --ctx-size 128000 \
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+ --model-name Mistral-Nemo-Instruct-2407
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+ ```
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+
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+ - Run as LlamaEdge command app
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+
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+ ```bash
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+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Mistral-Nemo-Instruct-2407-Q5_K_M.gguf \
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+ llama-chat.wasm \
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+ --prompt-template mistral-instruct \
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+ --ctx-size 128000
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+ ``` -->
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+
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+ ## Quantized GGUF Models
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+
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+ | Name | Quant method | Bits | Size | Use case |
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+ | ---- | ---- | ---- | ---- | ----- |
75
+ | [Mistral-Nemo-Instruct-2407-Q2_K.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q2_K.gguf) | Q2_K | 2 | 4.79 GB| smallest, significant quality loss - not recommended for most purposes |
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+ | [Mistral-Nemo-Instruct-2407-Q3_K_L.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q3_K_L.gguf) | Q3_K_L | 3 | 6.56 GB| small, substantial quality loss |
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+ | [Mistral-Nemo-Instruct-2407-Q3_K_M.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q3_K_M.gguf) | Q3_K_M | 3 | 6.08 GB| very small, high quality loss |
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+ | [Mistral-Nemo-Instruct-2407-Q3_K_S.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q3_K_S.gguf) | Q3_K_S | 3 | 5.53 GB| very small, high quality loss |
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+ | [Mistral-Nemo-Instruct-2407-Q4_0.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q4_0.gguf) | Q4_0 | 4 | 7.07 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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+ | [Mistral-Nemo-Instruct-2407-Q4_K_M.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q4_K_M.gguf) | Q4_K_M | 4 | 7.48 GB| medium, balanced quality - recommended |
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+ | [Mistral-Nemo-Instruct-2407-Q4_K_S.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q4_K_S.gguf) | Q4_K_S | 4 | 7.12 GB| small, greater quality loss |
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+ | [Mistral-Nemo-Instruct-2407-Q5_0.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q5_0.gguf) | Q5_0 | 5 | 8.52 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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+ | [Mistral-Nemo-Instruct-2407-Q5_K_M.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/resolve/main/Mistral-Nemo-Instruct-2407-Q5_K_M.gguf) | Q5_K_M | 5 | 8.73 GB| large, very low quality loss - recommended |
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+ | [Mistral-Nemo-Instruct-2407-Q5_K_S.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q5_K_S.gguf) | Q5_K_S | 5 | 8.52 GB| large, low quality loss - recommended |
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+ | [Mistral-Nemo-Instruct-2407-Q6_K.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q6_K.gguf) | Q6_K | 6 | 10.1 GB| very large, extremely low quality loss |
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+ | [Mistral-Nemo-Instruct-2407-Q8_0.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-Q8_0.gguf) | Q8_0 | 8 | 13.0 GB| very large, extremely low quality loss - not recommended |
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+ | [Mistral-Nemo-Instruct-2407-f16.gguf](https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF/blob/main/Mistral-Nemo-Instruct-2407-f16.gguf) | f16 | 16 | 24.5 GB| |
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+
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+ *Quantized with llama.cpp b3438.*