license: apache-2.0
language:

• en
• zh
  library_name: transformers
  pipeline_tag: text-generation
  tags:
• g9v3
• llama
• text-generation
• long-context
• tool-calling
• heretic
• abliterated
• uncensored
• gguf
• llama.cpp
  base_model:
• Vortecks/G9v3-3B-Heretic-Abliterated

GitHub | Hugging Face

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.

All quantizations were produced with llama.cpp. The low-bit IQ quants (IQ1_* to IQ3_XXS) were generated with an importance matrix.

Download a file (not the whole branch) from below:

Which file should I choose?

• For most use cases, use Q4_K_M (good quality / size balance).
• For maximum quality, use Q6_K or Q8_0 (only if you have the RAM).
• For low-memory devices, work down from Q4_K_S → Q3_K_M → Q2_K.
• The IQ1/IQ2/IQ3 types are for squeezing onto very limited hardware.

Model Information

• Type: Causal Language Model
• Architecture: Standard LlamaForCausalLM
• Number of Parameters: ~3B
• Context Length: 131,072

Performance

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:

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.