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Zamba2-7B

Hybrid Mamba2-transformer 7B with big-model quality and small-model latency.

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About

Zamba2-7B is Zyphra's second-generation hybrid state-space model, released November 2024. It interleaves a Mamba2 backbone with two shared transformer attention blocks in an ABAB pattern, plus LoRA projectors that let each shared block specialize per layer at minimal parameter cost. The result is a 7B model that competes with Mistral-7B, Gemma-7B, and Llama-3-8B on benchmarks while delivering substantially faster time-to-first-token and much smaller KV-cache memory.

Trained on up to 3 trillion tokens including a carefully curated annealing phase, the model is released under Apache 2.0 with base and instruction-tuned variants. Its efficiency profile makes it a strong fit for on-device, edge, and cost-sensitive deployments where transformer latency is the bottleneck.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

November 22, 2024

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

efficient-inferenceedge-deploymentchatlow-latency-serving

Trust score — 7/10

/10 trustMetrics-checked

Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 90; Trending score 72/100 from researcher assessment.

Sources