Mandotosh/NedoLM-0.8B-SFT-GGUF overview
NedoLM 0.8B SFT GGUF Public GGUF snapshot of NedoLM 0.8B after Turkish full parameter SFT. SFT checkpoint: step 00005300.pt Base pretraining checkpoint: /arf/s…
Runs locally from ~1.53 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| NedoLM-0.8B-SFT-step-00005300-F16.gguf | GGUF | F16 | 1.53 GB | Download |
Model Details
Model README
---
license: apache-2.0
library_name: gguf
language:
- tr
tags:
- gguf
- turkish
- nedolm
- sft
---
NedoLM-0.8B-SFT-GGUF
Public GGUF snapshot of NedoLM 0.8B after Turkish full-parameter SFT.
- SFT checkpoint:
step_00005300.pt - Base pretraining checkpoint:
/arf/scratch/egitimg16/nedolm_0p8b/runs/nedolm-0p8b-v1/checkpoints/step_00064000.pt - Parameters: 823,076,352
- Context length: 4096
- Attention: 12 heads / 4 KV heads, head dim 128
- Sliding window: 2048
- FFN width: 5632
- MorphFFN layers: 18 / 24
- GGUF storage: F16
- GGUF SHA256:
9c830384e5434035e77c55ae40c5940b386f42156b63c7d4132af5b2ec986aa1 - NedoTokenizer vocab SHA256:
72412d981dac65a29d1767bc98821fc2bcffc2de53c534e7c719598515bfb600
Important runtime note
This file uses the custom GGUF architecture name nedolm. NedoLM contains token-prior MorphFFN routing (OTHER/ROOT/SUFFIX channels). Stock llama.cpp does not understand this architecture unless a NedoLM/MorphFFN runtime implementation is added. The GGUF is a valid v3 container and preserves the model tensors and architecture metadata; surface-vocab.bin is included for the exact tokenizer used by training.
SFT data
The SFT loader trains only on assistant targets and excludes conversations containing tool-role messages. During the corpus audit, 3,753 tool-role documents were detected and filtered from the readable training corpus.
Run Mandotosh/NedoLM-0.8B-SFT-GGUF with guIDE
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Source: Hugging Face · Compare models