LTX2.3-10Eros - GGUF

This repository contains GGUF format model files for TenStrip's LTX2.3-10Eros.

Model Details

Available Quantizations

The following quantization tiers are provided to accommodate different hardware capabilities and VRAM constraints.

Filename Quantization Type Recommended Use
10Eros_v1-Q8_0.gguf Q8_0 Extremely high quality, near unquantized performance. Requires high VRAM.
10Eros_v1-Q6_K.gguf Q6_K Very high quality, minimal precision loss.
10Eros_v1-Q5_K_M.gguf Q5_K_M Excellent balance of quality and performance.
10Eros_v1-Q4_K_M.gguf Q4_K_M Recommended standard. Fast inference with very low quality degradation.
10Eros_v1-Q3_K_M.gguf Q3_K_M High compression. Best for constrained environments with limited RAM/VRAM.
Downloads last month
2,170
GGUF
Model size
21B params
Architecture
ltxv
Hardware compatibility
Log In to add your hardware

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for Abiray/LTX2.3-10Eros-GGUF

Quantized
(1)
this model

Collection including Abiray/LTX2.3-10Eros-GGUF