63 lines
3.2 KiB
Markdown
63 lines
3.2 KiB
Markdown
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<!--Copyright 2025 The HuggingFace Team. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
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an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
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specific language governing permissions and limitations under the License.
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⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
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rendered properly in your Markdown viewer.
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-->
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*This model was released on 2025-05-21 and added to Hugging Face Transformers on 2025-05-21.*
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# FalconH1
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## Overview
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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).
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## Contributors
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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).
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The original code can be found [here](https://github.com/tiiuae/Falcon-H1).
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## FalconH1Config
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| Model | Depth | Dim | Attn Heads | KV | Mamba Heads | d_head | d_state | Ctx Len |
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|-----------|--------|------|------------|----|--------------|--------------|------|-----------------|
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| H1 0.5B | 36 | 1024 | 8 | 2 | 24 | 64 / 64 | 128 | 4K, 16K-SFT |
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| H1 1.5B | 24 | 2048 | 8 | 2 | 48 | 128 / 64 | 256 | 128K |
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| H1 1.5B-d | 66 | 1280 | 6 | 2 | 24 | 128 / 64 | 256 | 128K |
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| H1 3B | 32 | 2560 | 10 | 2 | 32 | 128 / 128 | 256 | 128K |
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| H1 7B | 44 | 3072 | 12 | 2 | 24 | 128 / 128 | 256 | 256K |
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| H1 34B | 72 | 5120 | 20 | 4 | 32 | 128 / 128 | 256 | 256K |
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[[autodoc]] FalconH1Config
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<!---
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## Usage Tips
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Tips:
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- The architecture is based on Mamba-2 models.
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## FalconH1Model
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[[autodoc]] FalconH1Model
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- forward
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-->
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## FalconH1ForCausalLM
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("tiiuae/Falcon-H1-7B-Instruct")
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tokenizer = AutoTokenizer.from_pretrained("tiiuae/Falcon-H1-7B-Instruct")
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message = ["Mamba is a snake with following properties "]
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inputs = tokenizer(message, return_tensors='pt', return_token_type_ids=False)
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response = model.generate(**inputs, max_new_tokens=64)
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print(tokenizer.batch_decode(response, skip_special_tokens=True)[0])
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```
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[[autodoc]] FalconH1ForCausalLM
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- forward
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This HF implementation is contributed by [younesbelkada](https://github.com/younesbelkada) and [DhiaEddineRhaiem](https://github.com/dhiaEddineRhaiem).
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