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+*This model was contributed to Hugging Face Transformers on 2025-05-21.*
+
+# FalconH1
+
+## Overview
+
+The [FalconH1](https://huggingface.co/blog/tiiuae/falcon-h1) model was developed by the TII Pretraining team. A comprehensive research paper covering the architecture, pretraining dynamics, experimental results, and conclusions is forthcoming. You can read more about this series in [this website](https://github.com/tiiuae/Falcon-H1).
+
+## Contributors
+
+This model was contributed by [DhiyaEddine](https://huggingface.co/DhiyaEddine), [ybelkada](https://huggingface.co/ybelkada), [JingweiZuo](https://huggingface.co/JingweiZuo), [IlyasChahed](https://huggingface.co/IChahed), and [MaksimVelikanov](https://huggingface.co/yellowvm).
+The original code can be found [here](https://github.com/tiiuae/Falcon-H1).
+
+## FalconH1Config
+
+| Model     | Depth | Dim  | Attn Heads | KV | Mamba Heads | d_head       | d_state | Ctx Len        |
+|-----------|--------|------|------------|----|--------------|--------------|------|-----------------|
+| H1 0.5B   | 36     | 1024 | 8          | 2  | 24           | 64 / 64      | 128  | 4K, 16K-SFT     |
+| H1 1.5B   | 24     | 2048 | 8          | 2  | 48           | 128 / 64     | 256  | 128K            |
+| H1 1.5B-d | 66     | 1280 | 6          | 2  | 24           | 128 / 64     | 256  | 128K            |
+| H1 3B     | 32     | 2560 | 10         | 2  | 32           | 128 / 128    | 256  | 128K            |
+| H1 7B     | 44     | 3072 | 12         | 2  | 24           | 128 / 128    | 256  | 256K            |
+| H1 34B    | 72     | 5120 | 20         | 4  | 32           | 128 / 128    | 256  | 256K            |
+
+[[autodoc]] FalconH1Config
+
+<!---
+## Usage Tips
+Tips: 
+- The architecture is based on Mamba-2 models.
+## FalconH1Model
+[[autodoc]] FalconH1Model
+    - forward
+-->
+
+## FalconH1ForCausalLM
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+
+model = AutoModelForCausalLM.from_pretrained("tiiuae/Falcon-H1-7B-Instruct", device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained("tiiuae/Falcon-H1-7B-Instruct")
+
+message = ["Mamba is a snake with following properties  "]
+inputs = tokenizer(message, return_tensors='pt', return_token_type_ids=False).to(model.device)
+response = model.generate(**inputs, max_new_tokens=64)
+print(tokenizer.batch_decode(response, skip_special_tokens=True)[0])
+```
+
+[[autodoc]] FalconH1ForCausalLM
+    - forward
+
+This HF implementation is contributed by [younesbelkada](https://github.com/younesbelkada) and [DhiaEddineRhaiem](https://github.com/dhiaEddineRhaiem).