Comment by freakynit

Open access for next 5 hours (Ternary-Bonsai-8B-Q2_0.gguf, running on RTX 3090) or until server crashes or the this spot instance gets taken away :) =>

https://uklkyvetsjf7qt-80.proxy.runpod.net

    ./build/bin/llama-server \
     -m ../Ternary-Bonsai-8B-Q2_0.gguf \
     -ngl 999 \
     --flash-attn on \
     --host 0.0.0.0 \
     --port 80 \
     --ctx-size 65500 \
     --batch-size 512 \
     --ubatch-size 512 \
     --parallel 5 \
     --cont-batching \
     --threads 8 \
     --threads-batch 8 \
     --cache-type-k q8_0 \
     --cache-type-v q8_0 \
     --log-colors on

# llama.cpp is forked one: https://github.com/PrismML-Eng/llama.cpp.git

# The server can serve 5 parallel request, with each request capped at around `13K` tokens...

# A bit of of benchmarks I did:

# 1. Input: 1001 tokens, ttfs: 0.3 second, outputs: 1618 tokens ~140t/s

# 2. Input: 9708 tokens, ttfs: 2.4 second, outputs: 2562 tokens at ~106t/s

# Vram usage was consistently at ~7GiB.

> https://huggingface.co/prism-ml/Ternary-Bonsai-8B-gguf/resol...