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1bit-MONSTER/Zamba2-2.7B-instruct-GGUF overview

Zamba2 2.7B instruct — GGUF GGUF conversion of Zyphra's Zamba2 2.7B instruct https://huggingface.co/Zyphra/Zamba2 2.7B instruct : Mamba 2 layers with shared tr…

ggufzamba2mambahybridbase_model:Zyphra/Zamba2-2.7B-instructbase_model:quantized:Zyphra/Zamba2-2.7B-instructlicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~3.79 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Zamba2-2.7B-instruct-Q8_0.ggufGGUFQ8_03.79 GBDownload

Model Details

Model ID1bit-MONSTER/Zamba2-2.7B-instruct-GGUF
Author1bit-MONSTER
Pipeline—
Licenseapache-2.0
Base modelZyphra/Zamba2-2.7B-instruct
Last modified2026-09-26T22:17:27.000Z

Model README

---

license: apache-2.0

base_model:

  • Zyphra/Zamba2-2.7B-instruct

tags:

  • gguf
  • zamba2
  • mamba
  • hybrid

---

Zamba2-2.7B-instruct — GGUF

GGUF conversion of Zyphra's Zamba2-2.7B-instruct: Mamba-2 layers with shared transformer blocks. It runs from our llama.cpp fork, which carries the Zamba2 model (ggml-org/llama.cpp#21412). The fork also adds a Vulkan Mamba-2 scan for this model's state size and fixes a converter bug that gave every token score -1000.

Contents

  • Zamba2-2.7B-instruct-Q8_0.gguf

Validation

  • Converted after the token-score fix: tokenization matches the model's own tokenizer.
  • Measured with llama-bench on Vulkan (Radeon 8060S), Q8_0: prefill 1541 tok/s (pp256), decode 45.2 tok/s (tg64). Chat answers are correct.

Running it

With the 1bit engine:

1bit serve -m Zamba2-2.7B-instruct-Q8_0.gguf --device vulkan

Attribution

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