Update README.md

README.md

@@ -1,37 +1,69 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: Qwen/Qwen2.5-32B-Instruct
+base_model: Qwen/Qwen2.5-7B-Instruct
 tags:
 - llama-factory
 - full
 - generated_from_trainer
 model-index:
-- name: DCFT-Stratos-Verified-114k-32B-4gpus
+- name: OpenThinker-32B
   results: []
+datasets:
+- open-thoughts/open-thoughts-114k
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
+<p align="center">
+    <img src="https://huggingface.co/datasets/open-thoughts/open-thoughts-114k/resolve/main/open_thoughts.png" width="50%">
+</p>
 
-# DCFT-Stratos-Verified-114k-32B-4gpus
+# OpenThinker-32B
 
-This model is a fine-tuned version of [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) on the mlfoundations-dev/stratos_verified_mix dataset.
+This model is a fine-tuned version of [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) on the 
+[OpenThoughts-114k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k) dataset.
 
-## Model description
+The dataset is derived by distilling DeepSeek-R1 using the [data pipeline available on github](https://github.com/open-thoughts/open-thoughts). 
+More info about the dataset can be found on the dataset card at [OpenThoughts-114k dataset](https://huggingface.co/datasets/open-thoughts/open-thoughts-114k).
 
-More information needed
+The numbers reported in the table below are evaluated with our open-source tool [Evalchemy](https://github.com/mlfoundations/Evalchemy).
 
-## Intended uses & limitations
 
-More information needed
+|Model Name|Dataset Size|AIME24 I/II|AIME25 I|MATH500|GPQA Diamond|LCBv2|
+|---|---|---|---|---|---|---|
+|LIMO-32B|0.8k|56.7|49.3|86.6|58.1|-|
+|s1-32B|1k|36.0|25.3|84.8|50.5|40.9|
+|s1.1-32B|1k|64.7|49.3|89.0|60.1|65.5|
+|DeepSeek-R1-Distill-Qwen-32B|closed|**76.7**|**55.9**|89.4|57.6|**71.2**|
+|**OpenThinker-32B**|114k|66.0|53.3|**90.6**|**61.6**|68.9|
+
+
+We are fully open-source. Our [model weights](https://huggingface.co/open-thoughts), [datasets](https://huggingface.co/open-thoughts), [data generation code](https://github.com/open-thoughts/open-thoughts), [evaluation code](https://github.com/mlfoundations/Evalchemy), and [training code](https://github.com/hiyouga/LLaMA-Factory) are all publicly available. 
+
+|  | Open Weights | Open Data | Open Code | 
+|--|--------------|-----------| --------- |
+|OpenThinker-32B|✅|[✅](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k)|[✅](https://github.com/open-thoughts/open-thoughts) |
+|DeepSeek-R1-Distill-Qwen-32B|✅|❌|❌|
+|OpenAI/Gemini|❌|❌|❌|❌|
 
-## Training and evaluation data
 
-More information needed
+
+## Intended uses & limitations
+
+Apache 2.0 License
+
 
 ## Training procedure
 
+We finetune [Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) 
+on [OpenThoughts-114k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k) for 
+3 epochs with a 16k context length using [LlamaFactory](https://github.com/hiyouga/LLaMA-Factory). 
+Our [full training configuration](https://github.com/open-thoughts/open-thoughts/blob/main/train/OpenThinker-32B.yaml) 
+is provided in [our repository](https://github.com/open-thoughts/open-thoughts/tree/main). 
+Training the 32B model on [OpenThoughts-114k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k) 
+was done on AWS SageMaker with 8xH100 P5 nodes. On 4 nodes, this took around 90 hours. 
+Meanwhile, for training on [OpenThoughts-Unverified-173k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Unverfied-173k), 
+we used 96 nodes of 4xA100 (64 GB per GPU), training took 30 hours, spending 11,520 A100 hours on the Leonardo Supercomputer.
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
@@ -49,13 +81,34 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 3.0
 
-### Training results
-
-
-
 ### Framework versions
 
 - Transformers 4.46.1
 - Pytorch 2.3.0
 - Datasets 3.1.0
 - Tokenizers 0.20.3
+
+More info can be found in our repository: [https://github.com/open-thoughts/open-thoughts](https://github.com/open-thoughts/open-thoughts).
+
+# Citation
+```
+@misc{openthoughts,
+  author = {Team, OpenThoughts},
+  month = jan,
+  title = {{Open Thoughts}},
+  howpublished = {https://open-thoughts.ai},
+  year = {2025}
+}
+```
+
+# Links
+- 📊 [Open Thoughts Launch Blog Post](https://www.open-thoughts.ai/blog/launch)
+- 📊 [Open Thoughts Measuring Reasoning with Evalchmey Blog Post](https://www.open-thoughts.ai/blog/measure)
+- 📊 [Open Thoughts OpenThinker-32B Post](https://www.open-thoughts.ai/blog/openthinker-32b)
+- 💻 [Open Thoughts GitHub Repository](https://github.com/open-thoughts/open-thoughts)
+- 🧠 [OpenThoughts-114k dataset](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k)
+- 🧠 [OpenThoughts-Unverified-173k dataset](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Unverified-173k)
+- 🤖 [OpenThinker-7B model](https://huggingface.co/open-thoughts/OpenThinker-7B)
+- 🤖 [OpenThinker-7B-Unverfied model](https://huggingface.co/open-thoughts/OpenThinker-7B-Unverified)
+- 🤖 [OpenThinker-32B model](https://huggingface.co/open-thoughts/OpenThinker-32B) - this model
+- 🤖 [OpenThinker-32B-Unverified model](https://huggingface.co/open-thoughts/OpenThinker-32B-Unverified)