初始化项目，由ModelHub XC社区提供模型

Model: gabriellarson/OpenReasoning-Nemotron-7B-GGUF Source: Original Platform
2026-10-08 23:13:19 +08:00
commit 99063a4fd1
28 changed files with 394 additions and 0 deletions
--- a/.gitattributes
+++ b/.gitattributes
@@ -0,0 +1,64 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-IQ2_XS.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-IQ2_XXS.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-IQ1_M.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-IQ1_S.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-IQ2_M.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-IQ2_S.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-IQ3_S.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-IQ3_XXS.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-Q2_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-1.5B-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-1.5B-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-1.5B-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+OpenReasoning-Nemotron-7B-F16.gguf filter=lfs diff=lfs merge=lfs -text
--- a/OpenReasoning-Nemotron-7B-F16.gguf
+++ b/OpenReasoning-Nemotron-7B-F16.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a78b3a30a1dfedb3b733492c41c923b24d504aea68dc023a44663a6c293a57fe
+size 15237851584
--- a/OpenReasoning-Nemotron-7B-IQ1_M.gguf
+++ b/OpenReasoning-Nemotron-7B-IQ1_M.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3662a3e26426a541b30519415ef74428d90437d6ba9a4ea48cae0bbc0a1c32a8
+size 2042194624
--- a/OpenReasoning-Nemotron-7B-IQ1_S.gguf
+++ b/OpenReasoning-Nemotron-7B-IQ1_S.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ae1b82451d53205cf16a0f93e7ec3bf2d13cb2a435c840d938b61447e63309a7
+size 1903665856
--- a/OpenReasoning-Nemotron-7B-IQ2_M.gguf
+++ b/OpenReasoning-Nemotron-7B-IQ2_M.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ca18807e74256ca041d0d80a82ef817bbba11a0283fbbdd57af5d648440651ff
+size 2780340928
--- a/OpenReasoning-Nemotron-7B-IQ2_S.gguf
+++ b/OpenReasoning-Nemotron-7B-IQ2_S.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:66aea84163a60d0ac2bc77f96e3c8e6bf593ca11ffaed4b2710e181f930b7f64
+size 2595635904
--- a/OpenReasoning-Nemotron-7B-IQ2_XS.gguf
+++ b/OpenReasoning-Nemotron-7B-IQ2_XS.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a55a053ef7647baeeb6cb3d4c2d6a888f6801202f89e2d81abbac406c0b8c9c
+size 2469020352
--- a/OpenReasoning-Nemotron-7B-IQ2_XXS.gguf
+++ b/OpenReasoning-Nemotron-7B-IQ2_XXS.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bdc97a437299b36387b474d6508ca7169295c13218b64b91f3427b3cf29a5305
+size 2273075904
--- a/OpenReasoning-Nemotron-7B-IQ3_M.gguf
+++ b/OpenReasoning-Nemotron-7B-IQ3_M.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:716d8c85774b8162b581234f306218aa152b32039b45ac51f324c5e2143546c5
+size 3574010560
--- a/OpenReasoning-Nemotron-7B-IQ3_S.gguf
+++ b/OpenReasoning-Nemotron-7B-IQ3_S.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e3ec85eb87d8c521ee8842ccd4e686675d763e40312971046f45c9549a132eab
+size 3499190976
--- a/OpenReasoning-Nemotron-7B-IQ3_XS.gguf
+++ b/OpenReasoning-Nemotron-7B-IQ3_XS.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2069de793e053361d303912be2d247a841f260122f9a24af311352eb7ddfc35f
+size 3346254528
--- a/OpenReasoning-Nemotron-7B-IQ3_XXS.gguf
+++ b/OpenReasoning-Nemotron-7B-IQ3_XXS.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ca2b3d9c9dd472b4dd00b04a36fd55cd5ea85b59c60818fa87c02343777fd7e5
+size 3114513088
--- a/OpenReasoning-Nemotron-7B-IQ4_NL.gguf
+++ b/OpenReasoning-Nemotron-7B-IQ4_NL.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b8c27d24442fd5a0cd4db36e155489a3fa1c58edcf869c3b80586421b36c480a
+size 4437811904
--- a/OpenReasoning-Nemotron-7B-IQ4_XS.gguf
+++ b/OpenReasoning-Nemotron-7B-IQ4_XS.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b0a5afde0501340312f9b1b4c5ee91e0f397e616f272c0da573a0a2c81b1dd7a
+size 4218471104
--- a/OpenReasoning-Nemotron-7B-Q2_K.gguf
+++ b/OpenReasoning-Nemotron-7B-Q2_K.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0ad181ecd3054e66b679d8656699a233760c26b40d2f8f7de7a73af516db3688
+size 3015938752
--- a/OpenReasoning-Nemotron-7B-Q2_K_S.gguf
+++ b/OpenReasoning-Nemotron-7B-Q2_K_S.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7f95004cadae06b5d0d6f49aae0da5c5c9ba9d0429c993f5f9e43eadc1a2285a
+size 2834072256
--- a/OpenReasoning-Nemotron-7B-Q3_K_L.gguf
+++ b/OpenReasoning-Nemotron-7B-Q3_K_L.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14224f0b13aeaca2745c010a5cc67fda54a882d5099145644cc6849c9ea180ef
+size 4088457920
--- a/OpenReasoning-Nemotron-7B-Q3_K_M.gguf
+++ b/OpenReasoning-Nemotron-7B-Q3_K_M.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ff49b9596affea77f19455ce8564ad5b8434bdfa9fe3ecd57588026cb909eb55
+size 3808389824
--- a/OpenReasoning-Nemotron-7B-Q3_K_S.gguf
+++ b/OpenReasoning-Nemotron-7B-Q3_K_S.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:58490725228be33b2dd5d90a50c5b51099319ded6e669f78acf5e17dd44d03e6
+size 3492367040
--- a/OpenReasoning-Nemotron-7B-Q4_0.gguf
+++ b/OpenReasoning-Nemotron-7B-Q4_0.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e1d91aecaa27227640d6c18e5e9187f23accc81a35aaae5c50be3c760acb64d
+size 4444119744
--- a/OpenReasoning-Nemotron-7B-Q4_K_M.gguf
+++ b/OpenReasoning-Nemotron-7B-Q4_K_M.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d70ac31bd43e8fc0dc4ab3d2401528e6a44381eb9b2f622aa5171718b98b0811
+size 4683072192
--- a/OpenReasoning-Nemotron-7B-Q4_K_S.gguf
+++ b/OpenReasoning-Nemotron-7B-Q4_K_S.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:81fd33f5a4347fac5bd195796a4f484376257939e96a5f668e45c2311bc14884
+size 4457767616
--- a/OpenReasoning-Nemotron-7B-Q5_0.gguf
+++ b/OpenReasoning-Nemotron-7B-Q5_0.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fce5995e70f0f8f7df40d8cce65b1c2ebbb88d0425b6ffd246e07871df2ee3ea
+size 5327905472
--- a/OpenReasoning-Nemotron-7B-Q5_K_M.gguf
+++ b/OpenReasoning-Nemotron-7B-Q5_K_M.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:28026e448c06d2a65ef79b27cb1bd573af34857987d4c46778da7de21bc89d6d
+size 5444829888
--- a/OpenReasoning-Nemotron-7B-Q5_K_S.gguf
+++ b/OpenReasoning-Nemotron-7B-Q5_K_S.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b5fc68e4ea704e82d5aa39588f112c7ba5ea8f8e4ba11f7109798f2f3d8390e6
+size 5315175104
--- a/OpenReasoning-Nemotron-7B-Q6_K.gguf
+++ b/OpenReasoning-Nemotron-7B-Q6_K.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b0881979ae1c0097b593c931d38c5c022e73d44293f3d642f879b13605405934
+size 6254197440
--- a/OpenReasoning-Nemotron-7B-Q8_0.gguf
+++ b/OpenReasoning-Nemotron-7B-Q8_0.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ad089013a06f61d782af6eed5b30223679e8fc9392599e09f3794ae69e8f387d
+size 8098523840
--- a/README.md
+++ b/README.md
@@ -0,0 +1,252 @@
+---
+license: cc-by-4.0
+language:
+- en
+base_model:
+- nvidia/OpenReasoning-Nemotron-7B
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- nvidia
+- code
+---
+# OpenReasoning-Nemotron-7B Overview
+
+## Description: <br>
+OpenReasoning-Nemotron-7B is a large language model (LLM) which is a derivative of Qwen2.5-7B-Instruct (AKA the reference model). It is a reasoning model that is post-trained for reasoning about math, code and science solution generation. The model supports a context length of 64K tokens. The OpenReasoning model is available in the following sizes: 1.5B, 7B and 14B and 32B. <br>
+
+This model is ready for commercial/non-commercial research use. <br>
+
+### License/Terms of Use: <br> 
+GOVERNING TERMS: Use of the models listed above are governed by the [Creative Commons Attribution 4.0 International License (CC-BY-4.0)](https://creativecommons.org/licenses/by/4.0/legalcode.en). ADDITIONAL INFORMATION: [Apache 2.0 License](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct/blob/main/LICENSE)
+
+## Scores on Reasoning Benchmarks
+
+![Evaluation Results with pass@1](https://raw.githubusercontent.com/NVIDIA/NeMo-Skills/main/docs/releases/openreasoning/pass-1.png)
+
+Our models demonstrate exceptional performance across a suite of challenging reasoning benchmarks. The 7B, 14B, and 32B models consistently set new state-of-the-art records for their size classes.
+
+| **Model** | **AritificalAnalysisIndex*** | **GPQA** | **MMLU-PRO** | **HLE** | **LiveCodeBench*** | **SciCode** | **AIME24** | **AIME25** | **HMMT FEB 25**  |
+| :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- |
+| **1.5B**| 31.0 | 31.6 | 47.5 | 5.5 | 28.6 | 2.2 | 55.5 | 45.6 | 31.5 |
+| **7B** | 54.7 | 61.1 | 71.9 | 8.3 | 63.3 | 16.2 | 84.7 | 78.2 | 63.5 |
+| **14B** | 60.9 | 71.6 | 77.5 | 10.1 | 67.8 | 23.5 | 87.8 | 82.0 | 71.2 |
+| **32B** | 64.3 | 73.1 | 80.0 | 11.9 | 70.2 | 28.5 | 89.2 | 84.0 | 73.8 |
+
+\* This is our estimation of the Artificial Analysis Intelligence Index, not an official score.
+
+\* LiveCodeBench version 6, date range 2408-2505.
+
+## Combining the work of multiple agents
+OpenReasoning-Nemotron models can be used in a "heavy" mode by starting multiple parallel generations and combining them together via [generative solution selection (GenSelect)](https://arxiv.org/abs/2504.16891). To add this "skill" we follow the original GenSelect training pipeline except we do not train on the selection summary but use the full reasoning trace of DeepSeek R1 0528 671B instead. We only train models to select the best solution for math problems but surprisingly find that this capability directly generalizes to code and science questions! With this "heavy" GenSelect inference mode, OpenReasoning-Nemotron-32B model surpasses O3 (High) on math and coding benchmarks.
+
+![Evaluation Results with GenSelect](https://raw.githubusercontent.com/NVIDIA/NeMo-Skills/main/docs/releases/openreasoning/genselect.png)
+
+| **Model** | **Pass@1 (Avg@64)** | **Majority@64** | **GenSelect** |
+| :--- | :--- | :--- | :--- |
+| **1.5B** | | | |
+| **AIME24** | 55.5 | 76.7 | 76.7 |
+| **AIME25** | 45.6 | 70.0 | 70.0 |
+| **HMMT Feb 25** | 31.5 | 46.7 | 53.3 |
+| **7B** | | | |
+| **AIME24** | 84.7 | 93.3 | 93.3 |
+| **AIME25** | 78.2 | 86.7 | 93.3 |
+| **HMMT Feb 25** | 63.5 | 83.3 | 90.0 |
+| **LCB v6 2408-2505** | 63.4 | n/a | 67.7 |
+| **14B** | | | |
+| **AIME24** | 87.8 | 93.3 | 93.3 |
+| **AIME25** | 82.0 | 90.0 | 90.0 |
+| **HMMT Feb 25** | 71.2 | 86.7 | 93.3 |
+| **LCB v6 2408-2505** | 67.9 | n/a | 69.1 |
+| **32B** | | | |
+| **AIME24** | 89.2 | 93.3 | 93.3 |
+| **AIME25** | 84.0 | 90.0 | 93.3 |
+| **HMMT Feb 25** | 73.8 | 86.7 | 96.7 |
+| **LCB v6 2408-2505** | 70.2 | n/a | 75.3 |
+| **HLE** | 11.8 | 13.4 | 15.5 |
+
+
+## How to use the models?
+
+To run inference on coding problems:
+
+````python
+import transformers
+import torch
+model_id = "nvidia/OpenReasoning-Nemotron-7B"
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model_id,
+    model_kwargs={"torch_dtype": torch.bfloat16},
+    device_map="auto",
+)
+# Code generation prompt
+prompt = """You are a helpful and harmless assistant. You should think step-by-step before responding to the instruction below.
+Please use python programming language only.
+You must use ```python for just the final solution code block with the following format:
+```python
+# Your code here
+```
+{user}
+"""
+# Math generation prompt
+# prompt = """Solve the following math problem. Make sure to put the answer (and only answer) inside \\boxed{}.
+# 
+# {user}
+# """
+# Science generation prompt
+# You can refer to prompts here -
+# https://github.com/NVIDIA/NeMo-Skills/blob/main/nemo_skills/prompt/config/generic/hle.yaml (HLE)
+# https://github.com/NVIDIA/NeMo-Skills/blob/main/nemo_skills/prompt/config/eval/aai/mcq-4choices-boxed.yaml (for GPQA)
+# https://github.com/NVIDIA/NeMo-Skills/blob/main/nemo_skills/prompt/config/eval/aai/mcq-10choices-boxed.yaml (MMLU-Pro)
+messages = [
+    {
+        "role": "user",
+        "content": prompt.format(user="Write a program to calculate the sum of the first $N$ fibonacci numbers")},
+]
+outputs = pipeline(
+    messages,
+    max_new_tokens=64000,
+)
+print(outputs[0]["generated_text"][-1]['content'])
+````
+
+## Citation
+
+If you find the data useful, please cite:
+```
+@article{ahmad2025opencodereasoning,
+      title={OpenCodeReasoning: Advancing Data Distillation for Competitive Coding}, 
+      author={Wasi Uddin Ahmad, Sean Narenthiran, Somshubra Majumdar, Aleksander Ficek, Siddhartha Jain, Jocelyn Huang, Vahid Noroozi, Boris Ginsburg},
+      year={2025},
+      eprint={2504.01943},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2504.01943}, 
+}
+```
+
+```
+@misc{ahmad2025opencodereasoningiisimpletesttime,
+      title={OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique}, 
+      author={Wasi Uddin Ahmad and Somshubra Majumdar and Aleksander Ficek and Sean Narenthiran and Mehrzad Samadi and Jocelyn Huang and Siddhartha Jain and Vahid Noroozi and Boris Ginsburg},
+      year={2025},
+      eprint={2507.09075},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2507.09075}, 
+}
+```
+
+```
+@misc{moshkov2025aimo2winningsolutionbuilding,
+      title={AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset}, 
+      author={Ivan Moshkov and Darragh Hanley and Ivan Sorokin and Shubham Toshniwal and Christof Henkel and Benedikt Schifferer and Wei Du and Igor Gitman},
+      year={2025},
+      eprint={2504.16891},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI},
+      url={https://arxiv.org/abs/2504.16891}, 
+}
+```
+
+## Additional Information:
+
+### Deployment Geography:
+Global<br>
+
+### Use Case: <br>
+This model is intended for developers and researchers who work on competitive math, code and science problems. It has been trained via only supervised fine-tuning to achieve strong scores on benchmarks. <br>
+
+### Release Date:  <br>
+Huggingface [07/16/2025] via https://huggingface.co/nvidia/OpenReasoning-Nemotron-7B/ <br> 
+
+## Reference(s):
+* [2504.01943] OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
+* [2504.01943] OpenCodeReasoning: Advancing Data Distillation for Competitive Coding
+* [2504.16891] AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset
+<br>
+
+## Model Architecture: <br>
+Architecture Type: Dense decoder-only Transformer model
+Network Architecture: Qwen-7B-Instruct 
+<br>
+**This model was developed based on Qwen2.5-7B-Instruct and has 7B model parameters. <br>**
+
+**OpenReasoning-Nemotron-1.5B was developed based on Qwen2.5-1.5B-Instruct and has 1.5B model parameters. <br>**
+
+**OpenReasoning-Nemotron-7B was developed based on Qwen2.5-7B-Instruct and has 7B model parameters. <br>**
+
+**OpenReasoning-Nemotron-14B was developed based on Qwen2.5-14B-Instruct and has 14B model parameters. <br>**
+
+**OpenReasoning-Nemotron-32B was developed based on Qwen2.5-32B-Instruct and has 32B model parameters. <br>**
+
+## Input: <br>
+**Input Type(s):** Text <br>
+**Input Format(s):** String <br>
+**Input Parameters:** One-Dimensional (1D) <br>
+**Other Properties Related to Input:** Trained for up to 64,000 output tokens <br>
+
+## Output: <br>
+**Output Type(s):** Text <br>
+**Output Format:** String <br>
+**Output Parameters:** One-Dimensional (1D) <br>
+**Other Properties Related to Output:** Trained for up to 64,000 output tokens <br> 
+
+Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA’s hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions. <br>   
+
+## Software Integration : <br>
+* Runtime Engine: NeMo 2.3.0 <br>
+* Recommended Hardware Microarchitecture Compatibility: <br>
+NVIDIA Ampere <br>
+NVIDIA Hopper <br>
+* Preferred/Supported Operating System(s): Linux <br> 
+
+## Model Version(s): 
+1.0 (7/16/2025)  <br>
+OpenReasoning-Nemotron-32B<br>
+OpenReasoning-Nemotron-14B<br>
+OpenReasoning-Nemotron-7B<br>
+OpenReasoning-Nemotron-1.5B<br>
+
+# Training and Evaluation Datasets: <br>
+
+## Training Dataset:
+
+The training corpus for OpenReasoning-Nemotron-7B is comprised of questions from [OpenCodeReasoning](https://huggingface.co/datasets/nvidia/OpenCodeReasoning) dataset, [OpenCodeReasoning-II](https://arxiv.org/abs/2507.09075), [OpenMathReasoning](https://huggingface.co/datasets/nvidia/OpenMathReasoning), and the Synthetic Science questions from the [Llama-Nemotron-Post-Training-Dataset](https://huggingface.co/datasets/nvidia/Llama-Nemotron-Post-Training-Dataset). All responses are generated using DeepSeek-R1-0528. We also include the instruction following and tool calling data from Llama-Nemotron-Post-Training-Dataset without modification.
+
+Data Collection Method: Hybrid: Automated, Human, Synthetic <br>
+Labeling Method: Hybrid: Automated, Human, Synthetic <br>
+Properties: 5M DeepSeek-R1-0528 generated responses from OpenCodeReasoning questions (https://huggingface.co/datasets/nvidia/OpenCodeReasoning), [OpenMathReasoning](https://huggingface.co/datasets/nvidia/OpenMathReasoning), and the Synthetic Science questions from the [Llama-Nemotron-Post-Training-Dataset](https://huggingface.co/datasets/nvidia/Llama-Nemotron-Post-Training-Dataset). We also include the instruction following and tool calling data from Llama-Nemotron-Post-Training-Dataset without modification.
+
+## Evaluation Dataset:
+We used the following benchmarks to evaluate the model holistically. 
+
+### Math
+- AIME 2024/2025 <br>
+- HMMT <br>
+- BRUNO 2025 <br>
+
+### Code
+- LiveCodeBench <br>
+- SciCode <br>
+
+### Science
+- GPQA <br>
+- MMLU-PRO <br>
+- HLE <br>
+
+
+Data Collection Method: Hybrid: Automated, Human, Synthetic <br>
+Labeling Method: Hybrid: Automated, Human, Synthetic <br>
+
+## Inference:
+**Acceleration Engine:** vLLM, Tensor(RT)-LLM <br>
+**Test Hardware** NVIDIA H100-80GB <br>
+
+## Ethical Considerations:
+NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications.  When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.  
+
+For more detailed information on ethical considerations for this model, please see the Model Card++ Explainability, Bias, Safety & Security, and Privacy Subcards.  
+
+Please report model quality, risk, security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).