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kkt94/Llama-V-JEPA-LM-Qwen3-4B

archived · low-signalmodel

Llama-V-JEPA-LM-Qwen3-4B is a video-language model from the Llama-V-JEPA-LM family. Dense, 5.1B params. Context: 256K tokens (config). License: apache-2.0. Vendor-reported: "Trained on 4.53M public samples, Llama-V-JEPA-LM-Qwen3-4B reaches a 72.14 average on 12 scores across 11 video benchmarks, ahead of every open model of its size class (best open 4B-class model: Molmo2-4B, 61.08)." Vendor-reported: "Generalizes beyond its constructions. 96.3 average on six held-out sets (unseen speed ratios, an unseen source corpus, unseen combinations, an unseen simulator; chance 33.3), vs. 50.0 for the best open 4B-class model (Qwen3-VL-4B)."

Org
kkt94
Released
2026-11-11
Status
archived · low-signal
License
apache-2.0 (permissive)
Parameters
5.1B
Architecture
dense · JepaLlmModel
Context
262,144 tokens (config.json)
Task
video-text-to-text · vision
Signal
9 HF likes · 108 downloads
Archived
2026-11-14 (no longer listed by the collector; stats as last seen)

Runs on

mixed: real files + estimate; need = weights + FP16 KV cache for 8K tokens + 1GB. A sizing calculation, not tested.

Links

First published here 2026-11-11 · updated 2026-11-14 · markdown · JSON