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README.md

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 ---
-license: apache-2.0
+license: llama3.1
+model_name: Llama-3.1-Nemotron-70B-Reward-HF
+base_model: nvidia/Llama-3.1-Nemotron-70B-Reward-HF
+inference: false
+model_creator: nvidia
+quantized_by: Second State Inc.
+tags:
+- nvidia
+- llama3.1
+- reward model
 ---
+
+<!-- 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 -->
+
+# Llama-3.1-Nemotron-70B-Reward-HF-GGUF
+
+## Original Model
+
+[nvidia/Llama-3.1-Nemotron-70B-Reward-HF](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Reward-HF)
+
+## Run with LlamaEdge
+
+- LlamaEdge version: coming soon
+
+<!-- - LlamaEdge version: [v0.12.4](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.4) 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-3.1-Nemotron-70B-Reward-HF-Q4_K_M.gguf \
+    llama-api-server.wasm \
+    --prompt-template llama-3-chat \
+    --ctx-size 128000 \
+    --model-name Llama-3.1-70b
+  ```
+
+- Run as LlamaEdge command app
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3.1-Nemotron-70B-Reward-HF-Q4_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-3.1-Nemotron-70B-Reward-HF-Q2_K.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-Q2_K.gguf)     | Q2_K   | 2 | 26.4 GB| smallest, significant quality loss - not recommended for most purposes |
+| [Llama-3.1-Nemotron-70B-Reward-HF-Q3_K_L.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-Q3_K_L.gguf) | Q3_K_L | 3 | 37.1 GB| small, substantial quality loss |
+| [Llama-3.1-Nemotron-70B-Reward-HF-Q3_K_M.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-Q3_K_M.gguf) | Q3_K_M | 3 | 34.3 GB| very small, high quality loss |
+| [Llama-3.1-Nemotron-70B-Reward-HF-Q3_K_S.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-Q3_K_S.gguf) | Q3_K_S | 3 | 30.9 GB| very small, high quality loss |
+| [Llama-3.1-Nemotron-70B-Reward-HF-Q4_0.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-Q4_0.gguf)     | Q4_0   | 4 | 40 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Llama-3.1-Nemotron-70B-Reward-HF-Q4_K_M.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-Q4_K_M.gguf) | Q4_K_M | 4 | 42.5 GB| medium, balanced quality - recommended |
+| [Llama-3.1-Nemotron-70B-Reward-HF-Q4_K_S.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-Q4_K_S.gguf) | Q4_K_S | 4 | 40.3 GB| small, greater quality loss |
+| [Llama-3.1-Nemotron-70B-Reward-HF-Q5_0.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-Q5_0.gguf)     | Q5_0   | 5 | 48.7 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Llama-3.1-Nemotron-70B-Reward-HF-Q5_K_M.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-Q5_K_M.gguf) | Q5_K_M | 5 | 49.9 GB| large, very low quality loss - recommended |
+| [Llama-3.1-Nemotron-70B-Reward-HF-Q5_K_S.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-Q5_K_S.gguf) | Q5_K_S | 5 | 48.7 GB| large, low quality loss - recommended |
+| [Llama-3.1-Nemotron-70B-Reward-HF-Q6_K-00001-of-00002.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-Q6_K-00001-of-00002.gguf)     | Q6_K   | 6 | 29.8 GB| very large, extremely low quality loss |
+| [Llama-3.1-Nemotron-70B-Reward-HF-Q6_K-00002-of-00002.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-Q6_K-00002-of-00002.gguf)     | Q6_K   | 6 | 28.0 GB| very large, extremely low quality loss |
+| [Llama-3.1-Nemotron-70B-Reward-HF-Q8_0-00001-of-00003.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-Q8_0-00001-of-00003.gguf)     | Q8_0   | 8 | 29.8 GB| very large, extremely low quality loss - not recommended |
+| [Llama-3.1-Nemotron-70B-Reward-HF-Q8_0-00002-of-00003.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-Q8_0-00002-of-00003.gguf)     | Q8_0   | 8 | 29.8 GB| very large, extremely low quality loss - not recommended |
+| [Llama-3.1-Nemotron-70B-Reward-HF-Q8_0-00003-of-00003.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-Q8_0-00003-of-00003.gguf)     | Q8_0   | 8 | 15.4 GB| very large, extremely low quality loss - not recommended |
+| [Llama-3.1-Nemotron-70B-Reward-HF-f16-00001-of-00005.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-f16-00001-of-00005.gguf)     | f16   | 16 | 30.0 GB|  |
+| [Llama-3.1-Nemotron-70B-Reward-HF-f16-00002-of-00005.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-f16-00002-of-00005.gguf)     | f16   | 16 | 29.6 GB|  |
+| [Llama-3.1-Nemotron-70B-Reward-HF-f16-00003-of-00005.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-f16-00003-of-00005.gguf)     | f16   | 16 | 29.6 GB|  |
+| [Llama-3.1-Nemotron-70B-Reward-HF-f16-00004-of-00005.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-f16-00004-of-00005.gguf)     | f16   | 16 | 29.6 GB|  |
+| [Llama-3.1-Nemotron-70B-Reward-HF-f16-00005-of-00005.gguf](https://huggingface.co/second-state/Llama-3.1-Nemotron-70B-Reward-HF-GGUF/blob/main/Llama-3.1-Nemotron-70B-Reward-HF-f16-00005-of-00005.gguf)     | f16   | 16 | 22.2 GB|  | -->
+
+*Quantized with llama.cpp 3932.*