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core-llm-e2b-seed
Chakragram/core-llm-e2b-seed
core-llm-e2b-seed is a machine learning model from Chakragram. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for gguf. The card lists the license as mit.
E2B (Extract-to-Bridge) extraction of nucleus-imprint-v1 f16. MatFormer slice — 30/35 layers (skipping 20-24).
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At a glance
- Library
- gguf
- License
- mit
- Access
- Public
- Created
- Jul 11, 2026
- Updated
- Jul 12, 2026
- SHA
- 043438fd
Model card
From the Hugging Face model README
CORE.llm E2B Seed
E2B (Extract-to-Bridge) extraction of nucleus-imprint-v1 f16. MatFormer slice — 30/35 layers (skipping 20-24).
Purpose: Knowledge seed for CORE.llm fine-tuning. Contains extracted kernel knowledge from the Nucleus AI OS coding-dev orbit.
Contents:
core-llm-v1-e2b-f16.gguf— 12 GB f16 GGUF (847 tensors, 35 layers)core_kernel.jsonl— 3,294 lines, 13 immutable kernel docs (~206 KB)train.py— Unsloth QLoRA fine-tune script (rank=64)
Training target: core-llm-v1-e2b-core-q4_k.gguf (QLoRA on kernel corpus)
Pipeline: f16 → Q4_K quantize → QLoRA (1 epoch, LR=2e-4, rank=64) → export GGUF
- Library
- gguf
- License
- mit
- Created
- Jul 11, 2026
- Updated
- Jul 12, 2026