README.md

metadata

license: apache-2.0
datasets:
  - AuriAetherwiing/Allura
  - kalomaze/Opus_Instruct_25k
base_model:
  - AuriAetherwiing/Yi-1.5-9B-32K-tokfix

QuantFactory/EVA-Yi-1.5-9B-32K-V1-GGUF

This is quantized version of EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1 created using llama.cpp

Original Model Card

EVA Yi 1.5 9B v1

A RP/storywriting focused model, full-parameter finetune of Yi-1.5-9B-32K on mixture of synthetic and natural data.
A continuation of nothingiisreal's Celeste 1.x series, made to improve stability and versatility, without losing unique, diverse writing style of Celeste.

Quants: (GGUF is not recommended, lcpp breaks tokenizer fix)

• IMatrix GGUF by bartowski
• Static GGUF by Mradermacher
• EXL2 by bartowski

We recommend using original BFloat16 weights, quantization seems to affect Yi significantly more than other model architectures.

Prompt format is ChatML.

Recommended sampler values:

• Temperature: 1
• Min-P: 0.05

Recommended SillyTavern presets (via CalamitousFelicitousness):

• Context
• Instruct and System Prompt

Training data:

• Celeste 70B 0.1 data mixture minus Opus Instruct subset. See that model's card for details.
• Kalomaze's Opus_Instruct_25k dataset, filtered for refusals.

Hardware used:

• 4x3090Ti for 5 days.

Model was trained by Kearm and Auri.

Special thanks:

• to Lemmy, Gryphe, Kalomaze and Nopm for the data
• to ALK, Fizz and CalamitousFelicitousness for Yi tokenizer fix
• and to InfermaticAI's community for their continued support for our endeavors