Introduction
G9v3-3B is a dense 3B causal language model from the AI9Stars team, built for local deployment and resource-constrained scenarios. It targets everyday assistant use, coding, tool-use workflows, and reasoning tasks where a compact model is preferred.
This build is a heretic abliterated variant, meaning the refusal directions in the model's activation space have been identified and ablated to remove built-in refusal behavior. As a result, this version is marketed as uncensored and will generally comply with a wider range of prompts than the base instruction-tuned release, without the usual safety-alignment guardrails.
Model Information
- Type: Causal Language Model
- Architecture: Standard
LlamaForCausalLM - Number of Parameters: ~3B
- Context Length: 131,072
Performance
| Metric | This model | Original model (ai9stars/G9v3-3B) |
|---|---|---|
| KL divergence | 0.0843 | 0 |
| Refusals | 3/100 | 100/100 |
Quickstart
GGUF quantizations of G9v3-3B-Heretic-Abliterated, for use with llama.cpp, Ollama, LM Studio, and other GGUF-compatible runtimes. The example commands below use the Q4_K_M quantization — swap in whichever quant level you've downloaded from the Files and versions tab.
llama.cpp
# Build or install llama.cpp: https://github.com/ggml-org/llama.cpp
huggingface-cli download Vortecks/G9v3-3B-Heretic-Abliterated-GGUF G9v3-3B-Heretic-Abliterated-Q4_K_M.gguf --local-dir .
CLI (interactive chat):
llama-cli -m G9v3-3B-Heretic-Abliterated-Q4_K_M.gguf \
-c 131072 \
-cnv \
--temp 0.7 \
--top-p 0.95
Server (OpenAI-compatible API):
llama-server -m G9v3-3B-Heretic-Abliterated-Q4_K_M.gguf \
-c 131072 \
--port 8080
curl http://localhost:8080/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"messages": [{"role": "user", "content": "Who are you?"}],
"max_tokens": 128,
"temperature": 0.7
}'
Ollama
ollama run hf.co/Vortecks/G9v3-3B-Heretic-Abliterated-GGUF:Q4_K_M
LM Studio
Search for Vortecks/G9v3-3B-Heretic-Abliterated-GGUF directly in the LM Studio model search, or download a .gguf file from the Files and versions tab and load it manually via Load Model from File.
Recommended sampling parameters:
| Mode | Recommended params |
|---|---|
| Think | temperature=0.9, top_p=0.95 |
| No Think | temperature=0.7, top_p=0.95 |
Limitations and Responsible Use
G9v3-3B is a language model that generates content based on learned statistical patterns from training data. It may produce inaccurate, biased, or unsafe outputs, and generated content should be reviewed and verified before use in high-stakes settings. Users are responsible for evaluating outputs, applying appropriate safeguards, and complying with applicable laws, regulations, and platform policies. As an abliterated, uncensored build, this model has had its built-in refusal behavior removed and will generally comply with a wider range of prompts than its base counterpart, so downstream safety, moderation, and policy compliance must be implemented by the deployer rather than relying on the model itself.
License
This repository and the G9v3 model weights are released under the Apache-2.0 License.