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Arctic LSTM Speculator Qwen3 32B Bird

Build the fastest OSS vllm-based speculative decoding system for your own model, using ArcticTraining and ArcticInference!

ArtOtherBasismodellQwen3VersionRevision 29c2434Verleger@SnowflakeCBewertung

Modellquelle

Art
Other
Dateigröße
5,20 GB
Basismodell
Qwen3
Version
vRevision 29c2434
Aktualisiert
4. Okt. 2026
Verleger
@Snowflake
Downloads
31
Parameter
32B
Quelle
Hugging Face

Quellenbeschreibung

ArcticSpeculator

Build the fastest OSS vllm-based speculative decoding system for your own model, using ArcticTraining and ArcticInference!

For more details about ArcticSpeculator and how to use it:

See all of the speculators we have released via our Speculators Collection

Quellen

1 Quelle
Hugging FacePrimärVersion 29c2434992c87464c87401140a53ef1168e49f6a
huggingface.co/Snowflake/Arctic-LSTM-Speculator-Qwen3-32B-bird/tree/29c2434992c87464c87401140a53ef1168e49f6a

Verifiziert 4. Okt.

Modellartefakte

1 Artefakt

pytorch_model.bin

bin · 5,20 GB · SHA-256 00508c74738c…60fa · Hugging Face

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Quellenauszüge

3 Auszüge

--- license: apache-2.0 --- # ArcticSpeculator Build the fastest OSS vllm-based speculative decoding system for your own model, using [ArcticTraining](https://github.com/snowflakedb/ArcticTraining) and [ArcticInference](https://github.com/snowflakedb/ArcticInference)! For more details about ArcticSpeculator and how to use it: * ❄️ [Using Arctic-Inference and Arctic-Training for improving real-world speculative decoding Performance (blog)]() * 🚀 [Getting started guide using ArcticTraining](https://github.com/snowflakedb/ArcticTraining/tree/mlp-variant-speculator/projects/mlp_variant_speculator) See all of the speculators we have released via our [Speculators Collection](https://huggingface.co/collections/Snowflake/speculators-6812b07f3186d13e243022e4)

Source context: 31 downloads · 0 likes · Repo Snowflake/Arctic-LSTM-Speculator-Qwen3-32B-bird

Source context: 234 downloads · 0 likes · Repo Snowflake/Arctic-LSTM-Speculator-Qwen3-32B-bird