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QinEmPeRoR93/nassila-sanad-e4b
nassila-sanad-e4b is a text generation model from QinEmPeRoR93. Use it when you need the model to write or continue text. It is set up for llama.cpp. The card lists the license as apache-2.0.
Checkpoint: S12 (legacy train label v1.12)
Downloads · 30 days
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8% of all-time downloads
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.gguf6.2 GB · 100%
From the Hugging Face model README
Checkpoint: S12 (legacy train label v1.12)
Status (2026-08): E4B S12 retired as the default tier — replaced by
nassila-sanad-4b(S15, Qwen 3.5 4B). Card kept for legacy users of the published E4B GGUF; no new trains.
Local GGUF for Sanad in Nassila — checks manuscript claims against source excerpts and returns structured JSON with verdicts and verbatim quotes.
File: nassila-sanad-e4b-q6_k.gguf · Q6_K · ~5.8 GB
Default tier (now): nassila-sanad-4b · Quality tier: nassila-sanad-12b
Part of Nassila Ouroboros — seven workers with deterministic checks plus optional local models.
Sanad today: validated on abstract excerpts (Tier 2). Full paper body text is planned (Tier 3).
| Combined | Quote validity | False-supported |
|---|---|---|
| 89.27% | 92.98% | 3.81% |
Default-tier validation: PASS
Recommended — download this GGUF, load it in LM Studio, and start the Local Server at http://localhost:1234.
In Nassila: Settings → Passage grounding → runner LM Studio → model nassila-sanad-e4b (or the id LM Studio shows).
Requires Ollama 0.5+ and a public Hugging Face repo.
Pull from Hub:
ollama pull huggingface.co/QinEmPeRoR93/nassila-sanad-e4b:Q6_K
In Nassila: runner Ollama → base URL http://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 4096
ollama create nassila-sanad-e4b -f Modelfile
</details>
Serve the GGUF with any OpenAI-compatible server (ctx-size 4096; requires a recent llama.cpp build with gemma4_unified support). Point Nassila at your base URL and exposed model id.
llama-server -m nassila-sanad-e4b-q6_k.gguf \
--host 127.0.0.1 --port 1234 --ctx-size 4096 --n-gpu-layers 99