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Status (2026-08): E4B S12 retired as the default tier — replaced bynassila-sanad-4b(S15, Qwen 3.5 4B). Card kept for legacy users of the published E4B GGUF; no new trains.
nassila-sanad-e4b-q6_k.gguf · Q6_K · ~5.8 GBnassila-sanad-4b · Quality tier: nassila-sanad-12b| Combined | Quote validity | False-supported |
|---|---|---|
| 89.27% | 92.98% | 3.81% |
http://localhost:1234.nassila-sanad-e4b (or the id LM Studio shows).ollama pull huggingface.co/QinEmPeRoR93/nassila-sanad-e4b:Q6_Khttp://localhost:11434 → model name from ollama list (often nassila-sanad-e4b:Q6_K).FROM https://huggingface.co/QinEmPeRoR93/nassila-sanad-e4b/resolve/main/nassila-sanad-e4b-q6_k.gguf
PARAMETER num_ctx 4096ollama create nassila-sanad-e4b -f Modelfilectx-size 4096; requires a recent llama.cpp build with gemma4_unified support). Point Nassila at your base URL and exposed model id.1llama-server -m nassila-sanad-e4b-q6_k.gguf \
2 --host 127.0.0.1 --port 1234 --ctx-size 4096 --n-gpu-layers 99