grimjim / Model details
Nemo-Instruct-2407-baked-v1-12B
grimjim/Nemo-Instruct-2407-baked-v1-12B
Family: Unknown. No supported family evidence recorded.
About this model
This repository is grimjim's derivative of grimjim/Nemo-Instruct-2407-MPOA-v2-12B, released as safetensors weights under an Apache-2.0 license. The creator describes the change as an attempt to bake in a system prompt through directional contrasting and then adding the resulting directions to layers 10 through 34, while preserving weight magnitudes and norms and omitting projection and orthogonalization steps. The system prompt used asks the model to default to statements over questions, disagree when it actually disagrees, avoid guiding the user toward expected answers, and in roleplay respond as the character would naturally react and advance scenes through character behavior rather than questions. According to the model card, the dual goal was to discourage undue sycophancy and engagement while promoting authenticity in roleplay, and the creator hoped this would at least partially counter or neutralize biases from Instruct training. These goals have not been independently tested here.
Description sources
Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.
Size and formats
- Base model
- grimjim/Nemo-Instruct-2407-MPOA-v2-12B
- Parameters
- 12.2478B
- Main repository formats
- safetensors
- License tag
- apache-2.0
- Languages
- de, en, es, fr, it, ja, pt, ru, zh
- Last updated
- 2025-11-30 · 05:53:24.000 UTC
What changed
Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.
- fine-tunedsource tag:
base_model:finetune:grimjim/Nemo-Instruct-2407-MPOA-v2-12B
Family evidence
These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.
- No supported family evidence recorded.
Available versions
Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.
- Main repository files ↗safetensors
- No other explicitly linked versions recorded.
Link to this listing
Made or quantized this model? Paste one of these into your model card or README so people can find this listing.
Markdown
[Listed on Custom Clankers](https://customclankers.com/models/grimjim-nemo-instruct-2407-baked-v1-12b-acd15b474ed8/)HTML
<a href="https://customclankers.com/models/grimjim-nemo-instruct-2407-baked-v1-12b-acd15b474ed8/">Listed on Custom Clankers</a>Plain text links only: no image, no script, nothing loaded from this site.
Customize or build on this model
Listed from public GitHub data, not tested by us. Read the code and license before you run anything.
Tools to customize it further
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- OBLITERATUS ↗ ★ 8,941
A larger refusal-removal toolkit with several abliteration methods, usable locally or through a hosted Hugging Face Space. Check the telemetry setting before you run it: the README describes telemetry as opt-in, but on by default in the Spaces version.
Fine-tune it on your own data
- Unsloth ↗ ★ 78,505
A desktop app and Python library for running and training models locally. Its README lists LoRA, QLoRA, full fine-tuning, DPO and GRPO, plus export to formats including GGUF, on Windows, Linux, WSL and macOS.
- LlamaFactory ↗ ★ 75,708
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Make a smaller download (quantize)
- llama.cpp ↗ ★ 132,209
Runs models locally and includes the tools behind most GGUF files. A conversion script turns Hugging Face weights into GGUF, and llama-quantize shrinks a high-precision GGUF to lower-bit formats, which can cost some accuracy.
- MLX LM ↗ ★ 7,461
Apple's MLX package for running and fine-tuning models on Apple silicon. It can quantize models and upload them to the Hugging Face Hub, and supports LoRA and full fine-tuning.
Merge it with another model
- mergekit ↗ ★ 7,414
Merges pretrained models with many merge methods. It works out-of-core, so merges can run on a CPU or with as little as 8 GB of VRAM, and it also handles LoRA extraction and mixture-of-experts merges.
Learn the techniques
- LLM Course ↗ ★ 84,653
A free course with roadmaps and Colab notebooks. Its notebooks include one-click tools for merging with MergeKit, quantizing to GGUF, GPTQ, EXL2, AWQ and HQQ, and automatic abliteration with custom datasets.
Source provenance
- Downloads
- 23
- Likes
- 2
- Metadata checked
- 2026-10-24 · 20:15:25 UTC
- First seen in index
- 2026-10-24 · 20:15:25 UTC
- Source revision
- c88d6605e1e2572fa34cad825dee6b65d08186b6
Source-card excerpt
Source model card excerpt: Nemo-Instruct-2407-baked-v1-12B This model represents an attempt to "bake in" the effect of a system prompt via directional contrasting and subsequent by addition of the
From grimjim/Nemo-Instruct-2407-baked-v1-12B. Creator model-card excerpt, not an independent review.
Inspect before you run
Low refusal is not proof of correctness. Outputs can be inaccurate, harmful, or biased. Review the model card, license and files yourself. A license tag is not commercial-use advice. Parameter counts are source metadata; no hardware compatibility is implied.
This directory does not host or redistribute model weights. Refusal profiles are measured by us on a fixed prompt set; all other behavior claims are source-reported.
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