MetaIX/Guanaco-33B-4bit

Information

Guanaco 33b working with Oobabooga's Text Generation Webui and KoboldAI.

This is a quantized version of Tim Dettmers' Guanaco 33b.

What's included

GPTQ: 2 quantized versions. One quantized --true-sequential and act-order optimizations, and the other was quantized using --true-sequential --groupsize 128 optimizations.

GGML: 3 quantized versions. One quantized using q4_1, another was quantized using q5_0, and the last one was quantized using q5_1.

GPU/GPTQ Usage

To use with your GPU using GPTQ pick one of the .safetensors along with all of the .jsons and .model files.

Oobabooga: If you require further instruction, see here and here

KoboldAI: If you require further instruction, see here

CPU/GGML Usage

To use your CPU using GGML(Llamacpp) you only need the single .bin ggml file.

Oobabooga: If you require further instruction, see here

KoboldAI: If you require further instruction, see here

Benchmarks

--true-sequential --act-order

Wikitext2: 4.582493305206299

Ptb-New: 8.697775840759277

C4-New: 6.67733097076416

Note: This version does not use --groupsize 128, therefore evaluations are minimally higher. However, this version allows fitting the whole model at full context using only 24GB VRAM.

--true-sequential --groupsize 128

Wikitext2: 4.369843006134033

Ptb-New: 8.53034496307373

C4-New: 6.496636390686035

Note: This version uses --groupsize 128, resulting in better evaluations. However, it consumes more VRAM.