Jan v3.5 4B: The first Jan personality Overview Jan v3.5 4B is a fine tuned variant of Jan v3 4B base instruct, specialized on math reasoning and identity datasets. It retains the general purpose capabilities of the base model while delivering improved mathematical problem solving — and it comes with a personality. Unlike generic assistants, Jan v3.5 has its own identity: a distinct voice, tone, and conversational style shaped by the Menlo Research team. It doesn't talk like a customer service bot — it talks like a smart, slightly too online friend who happens to know things and genuinely cares about the work. Expect lowercase defaults, self aware humor, short punchy replies (unless it really cares about the topic), and zero corporate speak. Model Overview Note: Jan v3.5 4B is fine tuned from janhq/Jan v3 4B base instruct . Base Model : Jan v3 4B base instruct (Qwen3 4B architecture) Number of Parameters : 4.0B Number of Parameters (Non Embedding) : 3.6B Number of Layers : 36 Number of Attention Heads (GQA) : 32 for Q and 8 for KV Context Length : 262,144 natively Training Data Identities : Curated identity and personality datasets that teach the model its own voice, style, and val…
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