v2.3.1: SynapseAI v1.19.0

SynapseAI v1.19.0

The codebase is validated with SynapseAI 1.19.0 and optimum-habana 1.15.0.

Tested models and configurations

Model	BF16		FP8
	Single Card	Multi-Card	Single Card	Multi-Card
Llama2-7B	✔	✔	✔	✔
Llama2-70B		✔		✔
Llama3-8B	✔	✔	✔	✔
Llama3-70B		✔		✔
Llama3.1-8B	✔	✔	✔	✔
Llama3.1-70B		✔		✔
CodeLlama-13B	✔	✔	✔	✔
Mixtral-8x7B	✔	✔	✔	✔
Mistral-7B	✔	✔	✔	✔
Falcon-180B		✔		✔
Qwen2-72B		✔		✔
Starcoder2-3b	✔	✔	✔
Starcoder2-15b	✔	✔	✔
Starcoder	✔	✔	✔	✔
Gemma-7b	✔	✔	✔	✔
Llava-v1.6-Mistral-7B	✔	✔	✔	✔

Full Changelog: v2.0.6...v2.3.1

v2.0.6: SynapseAI v1.18.0

SynapseAI v1.18.0

The codebase is validated with SynapseAI 1.18.0 and optimum-habana 1.14.1.

Tested models and configurations

Model	BF16		FP8
	Single Card	Multi-Card	Single Card	Multi-Card
Llama2-7B	✔	✔	✔	✔
Llama2-70B		✔		✔
Llama3-8B	✔	✔	✔	✔
Llama3-70B		✔		✔
Llama3.1-8B	✔	✔	✔	✔
Llama3.1-70B		✔		✔
CodeLlama-13B	✔	✔	✔	✔
Mixtral-8x7B	✔	✔	✔	✔
Mistral-7B	✔	✔	✔	✔
Falcon-180B		✔		✔
Qwen2-72B		✔		✔
Starcoder2-3b	✔	✔	✔
Starcoder2-15b	✔	✔	✔
Starcoder	✔	✔	✔	✔
Gemma-7b	✔	✔	✔	✔
Llava-v1.6-Mistral-7B	✔	✔	✔	✔

Full Changelog: v2.0.5...v2.0.6

v2.0.5: Llava multi-card support

Llava multi-card support

• Only Apply the TP in language_model #219 @yuanwu2017
• Llava-next: Added flash_attention_recompute option #220 @tthakkal
• Update README.md with changes related to LLava-next multi card support #221 @tthakkal
• Upgrade to Optimum Habana v1.13.2 #222 @regisss

Tested models and configurations

Model	BF16	FP8	Single Card	Multi-Cards
Llama2-7B	✔	✔	✔	✔
Llama2-70B	✔	✔		✔
Llama3-8B	✔	✔	✔	✔
Llama3-70B	✔	✔		✔
Llama3.1-8B	✔	✔	✔	✔
Llama3.1-70B	✔	✔		✔
CodeLlama-13B	✔	✔	✔
Mixtral-8x7B	✔	✔	✔	✔
Mistral-7B	✔	✔	✔	✔
Llava-v1.6-Mistral-7B	✔	✔	✔	✔

Full Changelog: v2.0.4...v2.0.5

v2.0.4: SynapseAI v1.17.0

SynapseAI v1.17.0

The codebase is validated with SynapseAI 1.17.0 and optimum-habana 1.13.1.

Tested models and configurations

Model	BF16	FP8	Single Card	Multi-Cards
Llama2-7B	✔	✔	✔	✔
Llama2-70B	✔	✔		✔
Llama3-8B	✔	✔	✔	✔
Llama3-70B	✔	✔		✔
Llama3.1-8B	✔	✔	✔	✔
Llama3.1-70B	✔	✔		✔
CodeLlama-13B	✔	✔	✔
Mixtral-8x7B	✔	✔	✔	✔
Mistral-7B	✔	✔	✔	✔
Llava-v1.6-Mistral-7B	✔	✔	✔

Highlights

• Added support for vision-language models

Full Changelog: v2.0.1...v2.0.4

v2.0.1: SynapseAI v1.16.0

SynapseAI v1.16.0

The codebase is validated with SynapseAI 1.16.0 and optimum-habana 1.12.0.

Tested configurations

• LLama2 7B BF16 / FP8 on 1xGaudi2
• LLama2 70B BF16 / FP8 on 8xGaudi2
• Falcon 180B BF16 / FP8 on 8xGaudi2
• Mistral 7B BF16 / FP8 on 1xGaudi2
• Mixtral 8x7B BF16 / FP8 on 1xGaudi2

Highlights

• Add support for grammar feature
• Add support for Habana Flash Attention

Full Changelog: v2.0.0...v2.0.1

v2.0.0: SynapseAI v1.15.0

SynapseAI v1.15.0

The codebase is validated with SynapseAI 1.15.0 and optimum-habana 1.11.1.

Tested configurations

• LLama2 70B BF16 / FP8 on 8xGaudi2

Highlights

• Add support for FP8 precision

Full Changelog: v1.2.1...v2.0.0

v1.2.1: SynapseAI v1.14.0

SynapseAI v1.14

The codebase is validated with SynapseAI 1.14.0 and optimum-habana 1.10.4.

Tested configuration

• LLama2 70B BF16 on 8xGaudi2

Highlights

• Add support for continuous batching on Intel Gaudi
• Add batch size bucketing
• Add sequence bucketing for prefill operation
• Optimize concatenate operation
• Add speculative scheduling

Full Changelog: v1.2.0...v1.2.1