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May 8, 2025
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Final update of models 1.21. #1231

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9a4aa9f
Removed one model from the list.
PatrykWo May 8, 2025
ba2ef46
Updates to build documentation / models section
PatrykWo May 8, 2025
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1 change: 0 additions & 1 deletion README_GAUDI.md
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Expand Up @@ -162,7 +162,6 @@ The following configurations have been validated to function with Gaudi 2 or Gau
| [meta-llama/Llama-3.2-11B-Vision](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision) | 1 | BF16, FP8 | Gaudi 2, Gaudi 3|
| [meta-llama/Llama-3.2-90B-Vision](https://huggingface.co/meta-llama/Llama-3.2-90B-Vision) | 4, 8 (min. for Gaudi 2) | BF16, FP8 | Gaudi 2, Gaudi 3|
| [meta-llama/Llama-3.2-90B-Vision-Instruct](https://huggingface.co/meta-llama/Llama-3.2-90B-Vision-Instruct) | 4, 8 (min. for Gaudi 2) | BF16 | Gaudi 2, Gaudi 3 |
| [meta-llama/Meta-Llama-3.2-405B](https://huggingface.co/meta-llama/Llama-3.2-405B) | 8 | BF16 | Gaudi 3|
| [meta-llama/Meta-Llama-3.3-70B](https://huggingface.co/meta-llama/Llama-3.3-70B) | 4 | BF16, FP8 | Gaudi 3|
| [meta-llama/Granite-3B-code-instruct-128k](https://huggingface.co/ibm-granite/granite-3b-code-instruct-128k) | 1 | BF16 | Gaudi 3|
| [meta-llama/Granite-3.0-8B-instruct](https://huggingface.co/ibm-granite/granite-3.0-8b-instruct) | 1 | BF16, FP8 | Gaudi 2, Gaudi 3|
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55 changes: 34 additions & 21 deletions docs/source/getting_started/installation/ai_accelerator/hpu-gaudi.inc.md
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Expand Up @@ -133,30 +133,43 @@ docker run -it --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_va
- Beam search
- Prefill chunking (mixed-batch inferencing)

## Supported Configurations
## Validated Models and Configurations

The following configurations have been validated to be function with Gaudi2 devices with random or greedy sampling. Configurations that are not listed may or may not work.

- [meta-llama/Llama-2-7b](https://huggingface.co/meta-llama/Llama-2-7b) on single HPU, or with tensor parallelism on 2x and 8x HPU, BF16 datatype
- [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on single HPU, or with tensor parallelism on 2x and 8x HPU, BF16 datatype
- [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on single HPU, or with tensor parallelism on 2x and 8x HPU, BF16 datatype
- [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on single HPU, or with tensor parallelism on 2x and 8x HPU, BF16 datatype
- [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on single HPU, or with tensor parallelism on 2x and 8x HPU, BF16 datatype
- [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on single HPU, or with tensor parallelism on 2x and 8x HPU, BF16 datatype
- [meta-llama/Llama-2-70b](https://huggingface.co/meta-llama/Llama-2-70b) with tensor parallelism on 8x HPU, BF16 datatype
- [meta-llama/Llama-2-70b-chat-hf](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) with tensor parallelism on 8x HPU, BF16 datatype
- [meta-llama/Meta-Llama-3-70B](https://huggingface.co/meta-llama/Meta-Llama-3-70B) with tensor parallelism on 8x HPU, BF16 datatype
- [meta-llama/Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) with tensor parallelism on 8x HPU, BF16 datatype
- [meta-llama/Meta-Llama-3.1-70B](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B) with tensor parallelism on 8x HPU, BF16 datatype
- [meta-llama/Meta-Llama-3.1-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) with tensor parallelism on 8x HPU, BF16 datatype
- [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on single HPU or with tensor parallelism on 2x HPU, BF16 datatype
- [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) with tensor parallelism on 2x HPU, BF16 datatype
- [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5-7b-hf) on single HPU or with tensor parallelism on 8x HPU, BF16 datatype
- [Qwen/Qwen2-72B-Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct) with tensor parallelism on 8x HPU, BF16 datatype
- [Qwen/Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct) with tensor parallelism on 8x HPU, BF16 datatype
- [mistralai/Mistral-Large-Instruct-2407](https://huggingface.co/mistralai/Mistral-Large-Instruct-2407) with tensor parallelism on 8x HPU, BF16 datatype
- [princeton-nlp/gemma-2-9b-it-SimPO](https://huggingface.co/princeton-nlp/gemma-2-9b-it-SimPO) on single HPU, BF16 datatype
- [meta-llama/Llama-3.2-90B-Vision-Instruct](https://huggingface.co/meta-llama/Llama-3.2-90B-Vision-Instruct) with tensor parallelism on 4x and 8x HPU, BF16 datatype
| **Model** | **Tensor Parallelism [x HPU]** | **Datatype** | **Validated on** |
|:--- |:---: |:---: |:---: |
| [meta-llama/Llama-2-7b](https://huggingface.co/meta-llama/Llama-2-7b) | 1, 2, 8 | BF16 | Gaudi 2, Gaudi 3|
| [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) | 1, 2, 8 | BF16 | Gaudi 2, Gaudi 3|
| [meta-llama/Llama-2-70b](https://huggingface.co/meta-llama/Llama-2-70b) | 8 | BF16 | Gaudi 2, Gaudi 3|
| [meta-llama/Llama-2-70b-chat-hf](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) | 8 | BF16 | Gaudi 2, Gaudi 3|
| [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) | 1, 2, 8 | BF16 | Gaudi 2, Gaudi 3|
| [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) | 1, 2, 8 | BF16 | Gaudi 2, Gaudi 3|
| [meta-llama/Meta-Llama-3-70B](https://huggingface.co/meta-llama/Meta-Llama-3-70B) | 8 | BF16 |Gaudi 2, Gaudi 3|
| [meta-llama/Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) | 8 | BF16 |Gaudi 2, Gaudi 3|
| [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) | 1 | BF16, FP8, INT4, FP16 (Gaudi 2) | Gaudi 2, Gaudi 3|
| [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) | 1 | BF16, FP8 | Gaudi 2, Gaudi 3|
| [meta-llama/Meta-Llama-3.1-70B](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B) | 2, 4, 8 | BF16, FP8, INT4 |Gaudi 2, Gaudi 3|
| [meta-llama/Meta-Llama-3.1-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) | 2, 4, 8 | BF16, FP8, FP16 (Gaudi 2) |Gaudi 2, Gaudi 3|
| [meta-llama/Meta-Llama-3.1-405B](https://huggingface.co/meta-llama/Meta-Llama-3.1-405B) | 8 | BF16, FP8 |Gaudi 3|
| [meta-llama/Meta-Llama-3.1-405B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-405B-Instruct) | 8 | BF16, FP8 |Gaudi 3|
| [meta-llama/Llama-3.2-11B-Vision](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision) | 1 | BF16, FP8 | Gaudi 2, Gaudi 3|
| [meta-llama/Llama-3.2-90B-Vision](https://huggingface.co/meta-llama/Llama-3.2-90B-Vision) | 4, 8 (min. for Gaudi 2) | BF16, FP8 | Gaudi 2, Gaudi 3|
| [meta-llama/Llama-3.2-90B-Vision-Instruct](https://huggingface.co/meta-llama/Llama-3.2-90B-Vision-Instruct) | 4, 8 (min. for Gaudi 2) | BF16 | Gaudi 2, Gaudi 3 |
| [meta-llama/Meta-Llama-3.3-70B](https://huggingface.co/meta-llama/Llama-3.3-70B) | 4 | BF16, FP8 | Gaudi 3|
| [meta-llama/Granite-3B-code-instruct-128k](https://huggingface.co/ibm-granite/granite-3b-code-instruct-128k) | 1 | BF16 | Gaudi 3|
| [meta-llama/Granite-3.0-8B-instruct](https://huggingface.co/ibm-granite/granite-3.0-8b-instruct) | 1 | BF16, FP8 | Gaudi 2, Gaudi 3|
| [meta-llama/Granite-20B-code-instruct-8k](https://huggingface.co/ibm-granite/granite-20b-code-instruct-8k) | 1 | BF16, FP8 | Gaudi 2, Gaudi 3|
| [meta-llama/Granite-34B-code-instruc-8k](https://huggingface.co/ibm-granite/granite-34b-code-instruct-8k) | 1 | BF16 | Gaudi 3|
| [mistralai/Mistral-Large-Instruct-2407](https://huggingface.co/mistralai/Mistral-Large-Instruct-2407) | 1, 4 | BF16 | Gaudi 3|
| [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) | 1, 2 | BF16 | Gaudi 2|
| [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) | 2 | FP8, BF16 |Gaudi 2, Gaudi 3|
| [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5-7b-hf) | 1, 8 | BF16 | Gaudi 2, Gaudi 3 |
| [princeton-nlp/gemma-2-9b-it-SimPO](https://huggingface.co/princeton-nlp/gemma-2-9b-it-SimPO) | 1 | BF16 |Gaudi 2, Gaudi 3|
| [Qwen/Qwen2-72B-Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct) | 8 | BF16 |Gaudi 2|
| [Qwen/Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct) | 8 | BF16 |Gaudi 2|
| [meta-llama/CodeLlama-34b-Instruct-hf](https://huggingface.co/meta-llama/CodeLlama-34b-Instruct-hf) | 1 | BF16 |Gaudi 3|
| [deepseek-ai/DeepSeek-R1](https://huggingface.co/deepseek-ai/DeepSeek-R1)<br> [quick start scripts](https://github.com/HabanaAI/vllm-fork/blob/deepseek_r1/scripts/DEEPSEEK_R1_ON_GAUDI.md) | 8 | FP8, BF16 |Gaudi 2, Gaudi 3|

## Performance Tuning

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