Add Zamba2 (#34517)
* First commit * Finish model implementation * First commit * Finish model implementation * Register zamba2 * generated modeling and configuration * generated modeling and configuration * added hybrid cache * fix attention_mask in mamba * dropped unused loras * fix flash2 * config docstrings * fix config and fwd pass * make fixup fixes * text_modeling_zamba2 * small fixes * make fixup fixes * Fix modular model converter * added inheritances in modular, renamed zamba cache * modular rebase * new modular conversion * fix generated modeling file * fixed import for Zamba2RMSNormGated * modular file cleanup * make fixup and model tests * dropped inheritance for Zamba2PreTrainedModel * make fixup and unit tests * Add inheritance of rope from GemmaRotaryEmbedding * moved rope to model init * drop del self.self_attn and del self.feed_forward * fix tests * renamed lora -> adapter * rewrote adapter implementation * fixed tests * Fix torch_forward in mamba2 layer * Fix torch_forward in mamba2 layer * Fix torch_forward in mamba2 layer * Dropped adapter in-place sum * removed rope from attention init * updated rope * created get_layers method * make fixup fix * make fixup fixes * make fixup fixes * update to new attention standard * update to new attention standard * make fixup fixes * minor fixes * cache_position * removed cache_position postion_ids use_cache * remove config from modular * removed config from modular (2) * import apply_rotary_pos_emb from llama * fixed rope_kwargs * Instantiate cache in Zamba2Model * fix cache * fix @slow decorator * small fix in modular file * Update docs/source/en/model_doc/zamba2.md Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * several minor fixes * inherit mamba2decoder fwd and drop position_ids in mamba * removed docstrings from modular * reinstate zamba2 attention decoder fwd * use regex for tied keys * Revert "use regex for tied keys" This reverts commit 9007a522b1f831df6d516a281c0d3fdd20a118f5. * use regex for tied keys * add cpu to slow forward tests * dropped config.use_shared_mlp_adapter * Update docs/source/en/model_doc/zamba2.md Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * re-convert from modular --------- Co-authored-by: root <root@node-2.us-southcentral1-a.compute.internal> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
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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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# Zamba2
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Zamba2 is a large language model (LLM) trained by Zyphra, and made available under an Apache 2.0 license. Please see the [Zyphra Hugging Face](https://huggingface.co/collections/zyphra/) repository for model weights.
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This model was contributed by [pglo](https://huggingface.co/pglo).
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## Model details
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Zamba2-1.2B, Zamba2-2.7B and Zamba2-7B are hybrid models combining state-space models (Specifically [Mamba](https://github.com/state-spaces/mamba)) and transformer, and were trained using next-token prediction. Zamba2 uses shared transformer layers after every 6 mamba blocks. It uses the [Mistral v0.1 tokenizer](https://huggingface.co/mistralai/Mistral-7B-v0.1). We came to this architecture after a series of ablations at small scales. Zamba2-1.2B, Zamba2-2.7B and Zamba2-7B were pre-trained on 2T and 3T tokens, respectively.
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<img src=https://github.com/user-attachments/assets/c2cff209-b901-483c-87aa-774b82a0769f width=30% height=40% />
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## Quick start
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### Presequities
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Zamba2 requires you use `transformers` version 4.48.0 or higher:
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```bash
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pip install transformers>=4.48.0
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## Inference
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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tokenizer = AutoTokenizer.from_pretrained("Zyphra/Zamba2-7B")
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model = AutoModelForCausalLM.from_pretrained("Zyphra/Zamba2-7B", device_map="cuda", torch_dtype=torch.bfloat16)
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input_text = "What factors contributed to the fall of the Roman Empire?"
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input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
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outputs = model.generate(**input_ids, max_new_tokens=100)
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print(tokenizer.decode(outputs[0]))
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```
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## Model card
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The model cards can be found at:
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* [Zamba2-1.2B](https://huggingface.co/Zyphra/Zamba2-1.2B)
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* [Zamba2-2.7B](https://huggingface.co/Zyphra/Zamba2-2.7B)
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* [Zamba2-7B](https://huggingface.co/Zyphra/Zamba2-7B)
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## Issues
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For issues with model output, or community discussion, please use the Hugging Face community [forum](https://huggingface.co/Zyphra/Zamba2-7B/discussions)
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## License
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The model weights are open-sourced via an Apache 2.0 license.
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## Zamba2Config
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[[autodoc]] Zamba2Config
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## Zamba2Model
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[[autodoc]] Zamba2Model
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- forward
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## Zamba2ForCausalLM
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[[autodoc]] Zamba2ForCausalLM
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- forward
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## Zamba2ForSequenceClassification
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[[autodoc]] transformers.Zamba2ForSequenceClassification
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- forward
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