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Model reference · open weights

Jarvis-Titan-M4-Merged

Available as managed deployment Licence fee LLMs dhanesh-hf · community Text gen 1 variants 500 dl/mo

Jarvis-Titan-M4-Merged is an open-weight language model from dhanesh-hf. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

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Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Released bydhanesh-hf
TypeLanguage models
TaskText gen
Parameters (lead)14.8B
Context32k tokens
Based ondhanesh-hf/Jarvis-Titan-V14-MoE-Merged
Released2026-09-13
Popularity500 downloads / month
LicenceCommercial licence needed

About

What Jarvis-Titan-M4-Merged is

Official 100% standalone merged weights combining J.A.R.V.I.S. Titan 14.8B DeepSeekMoE with the Milestone M4 Calibrated Tri-Brid Adapter.

Read the full model card

Architecture & Specifications

  • Backbone: DeepSeekMoE 14.8B (1 Shared Expert + 8 Routed Experts, Top-2 active routing).
  • Tri-Brid Strategic Bridge Layers: Layers [3, 7, 11, 15, 19, 23, 27] (7 memory bridge checkpoints).
  • Tier 1 (Local SWA): Sliding Window Attention ($W = 2048$) with zero-copy GQA.
  • Tier 2 (Salient Reservoir): Exact KV retrieval subspace ($D = 512$).
  • Tier 3 (Titans Neural Memory): Bounded test-time learning recurrence ($\eta=10^{-3}$, $\rho=10^{-4}$, $\mu=0.95$, $||M||_F \le 50.0$).
  • MAG-3 Adaptive Gating: Calibrated routing distribution targeting [$L$: ~55%, $R$: ~25%, $M$: ~20%].
  • 100% Zero-Loss Passthrough: Unbroken backbone residual stream for stable autoregressive generation.

From the published model card. Full card on the HuggingFace links in the sidebar.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys jarvis-titan-m4-merged for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (jarvis-titan-m4-merged below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/chat/completions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"jarvis-titan-m4-merged","messages":[{"role":"user","content":"Hello"}]}'

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