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TX-12G
Tarxxxxxx/TX-12G
TX-12G is a text generation model from Tarxxxxxx. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
Enhanced reasoning and code generation. Runs on 12GB RAM.
All-time downloads
208
Public
Repo size
5 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.gguf5 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Dec 1, 2025
- Updated
- Jan 12, 2026
- SHA
- c965dd6f
Try a prompt
Model card
From the Hugging Face model README
TX-12G
Enhanced reasoning and code generation. Runs on 12GB RAM.
TX-12G is TARX's mid-tier model, offering significantly improved reasoning and code generation while remaining accessible to users with 12GB+ RAM.
Model Details
| Property | Value |
|---|---|
| Parameters | 12B |
| Quantization | Optimized mixed precision |
| RAM Required | 12 GB minimum |
| GPU VRAM | 8 GB+ recommended |
| Context Length | 16,384 tokens |
| License | Apache 2.0 |
Capabilities
- ✅ Everything TX-8G does, plus:
- ✅ Complex multi-step reasoning
- ✅ Advanced code generation & debugging
- ✅ Nuanced writing with style matching
- ✅ Technical documentation
- ✅ Data analysis & interpretation
When to Use TX-12G vs TX-8G
| Use Case | TX-8G | TX-12G |
|---|---|---|
| Quick questions | ✅ | Overkill |
| Email drafting | ✅ | ✅ |
| Simple code | ✅ | ✅ |
| Complex debugging | ⚠️ | ✅ |
| Multi-file refactoring | ❌ | ✅ |
| Technical writing | ⚠️ | ✅ |
| Research synthesis | ⚠️ | ✅ |
Usage
With TARX Desktop
Settings → Model → TX-12G
Model downloads automatically on first use (~8GB download).
With Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained(
"Tarxxxxxx/TX-12G",
device_map="auto",
torch_dtype="auto"
)
tokenizer = AutoTokenizer.from_pretrained("Tarxxxxxx/TX-12G")
With llama.cpp
wget https://huggingface.co/Tarxxxxxx/TX-12G/resolve/main/tx-12g.Q6_K.gguf
./main -m tx-12g.Q6_K.gguf -p "Debug this Python function:" -n 512
Hardware Requirements
| Hardware | Performance |
|---|---|
| Apple M1 Pro/Max (16GB+) | ⭐⭐⭐⭐⭐ Excellent |
| Apple M2/M3 (16GB+) | ⭐⭐⭐⭐⭐ Excellent |
| NVIDIA RTX 3080+ | ⭐⭐⭐⭐⭐ Excellent |
| Intel i7 + 32GB RAM | ⭐⭐⭐⭐ Good |
| AMD Ryzen 7 + 32GB | ⭐⭐⭐⭐ Good |
Links
Built by TARX | tarx.com
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Languages
- en
- Created
- Dec 1, 2025
- Updated
- Jan 12, 2026