MB
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
Language model · United Arab Emirates ·Dec 2023

CRYSTALCODER

Language Open (Restricted)
6.7B
Parameters

About CRYSTALCODER

CRYSTALCODER is an AI model developed by Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), in the language category, released in 2023, made available as an open-weights model with 6.7B params.

On this page you'll find CRYSTALCODER's full specifications. Review provider pricing and benchmark scores below, or compare CRYSTALCODER head-to-head with other language models.

→ More models by Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) → All language models → AI benchmarks leaderboard

Links

Announcement ↗ Hugging Face ↗

Run CRYSTALCODER locally — what to buy

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Sized to what CRYSTALCODER actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.

Good
Intel Arc B580 12GB
Consumer GPU · ~$249
~87.5 tok/s
Q4 · fits full context · up to 8k ctx
Runs with: ExLlamaV2, KoboldCpp, LM Studio
See full estimate →
Better
Intel Arc A770 16GB
Consumer GPU · ~$329
~107.5 tok/s
Q4 · fits full context · up to 8k ctx
Runs with: ExLlamaV2, KoboldCpp, LM Studio
See full estimate →
Best
AMD Radeon RX 7800 XT
Consumer GPU · ~$499
~120 tok/s
Q4 · fits full context · up to 8k ctx
Runs with: ExLlamaV2, KoboldCpp, LM Studio
See full estimate →

Software support

·ExLlamaV2 ·KoboldCpp ·LM Studio ·MLX ·Ollama ·SGLang ·TensorRT-LLM ·llama.cpp ·vLLM ?KTransformers ?text-generation-webui

✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.

Consumer GPU
43–120+ tok/s
32 options →
Apple
26–120+ tok/s
18 options →
Datacenter GPU
120+ tok/s
13 options →

Community

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Frequently asked questions

What is CRYSTALCODER? ▶

CRYSTALCODER is an AI model developed by Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), in the language category, released in 2023. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created CRYSTALCODER? ▶

CRYSTALCODER was developed by Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) and released in 2023.

Is CRYSTALCODER open source or proprietary? ▶

CRYSTALCODER ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

How much does CRYSTALCODER cost? ▶

Pricing for CRYSTALCODER depends on the provider. See the providers table on this page for the latest API rates.

How does CRYSTALCODER perform on benchmarks? ▶

Benchmark scores for CRYSTALCODER are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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