Public model card reference

DANTE-Mosaic-3.5B

Catalogue summary: OdaxAI compact dense model based on SmolLM3-3B and distilled from Kimi K2. Strong small-model benchmark profile: GSM8K 74.45, HellaSwag 76.73 and MBPP 42.6. Apache 2.0, BF16 weights, practical for local Transformers/vLLM use.

Repository editorial metadata; verify comparative claims in the linked upstream material.

Public model cardNo public GGUF verified3.08B2026-05
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Source status
Public model card
Public GGUF
Not verified
Parameters
3.08B
Access
Public card

Verified source status

LocalClaw verified a public model card for DANTE-Mosaic-3.5B on 2026-09-07, but no public GGUF file in that repository. The catalogue RAM and quantization fields are estimates, not a verified install path.

Only the public model card was verified; no public GGUF file was verified in that repository. Open the model card to confirm current artefacts and supported runtimes. LocalClaw does not claim a one-click LM Studio install.

chatreasoningcodelightmultilingual

Source availability

01
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02
Inspect current filesNo public GGUF file was verified in the repository during the catalogue audit.
03
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Catalogue record

  • Family: dante
  • Parameters: 3.08B
  • Recommended quantization: BF16
  • Catalogue minimum RAM: 8 GB
  • Catalogue model size: 6.2 GB
  • Tags: chat, reasoning, code, light, multilingual

Practical limits

  • Catalogue RAM is a minimum estimate, not a guarantee for every context length or runtime.
  • Speed and memory use vary by quantization, backend, context length and system headroom.
  • Verify architecture, licence and usage restrictions in the linked upstream material before deployment.

Catalogue tags

  • chat
  • reasoning
  • code
  • light
  • multilingual

Capability profile

Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.

speed
8
quality
7
coding
6
reasoning
7

Technical notes

Developer
OdaxAI
License
Apache 2.0
Context window
See upstream repository
Architecture
Dense SmolLM3 causal language model fine-tune with 3.08B parameters. Distilled from Kimi K2 using generative cross-architecture / cross-tokenizer distillation.

Related catalogue entries

Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.

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