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mistral-7b-ultrachat100k-merged – AI Model by gradjitta | AlphaNeural AI

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gradjitta/
mistral-7b-ultrachat100k-merged

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text-generation

kaitchup/ultrachat-100k-flattened

autotrain_compatible

text-generation-inference

endpoints_compatible

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library_name: peft

Training procedure

Finetuned on ultrachat-100k-flattened dataset for 1 epoch, took around 40 hrs on A100 80BG

The following bitsandbytes quantization config was used during training:

quant_method: bitsandbytes
load_in_8bit: False
load_in_4bit: True
llm_int8_threshold: 6.0
llm_int8_skip_modules: None
llm_int8_enable_fp32_cpu_offload: False
llm_int8_has_fp16_weight: False
bnb_4bit_quant_type: nf4
bnb_4bit_use_double_quant: True
bnb_4bit_compute_dtype: float16

Framework versions

PEFT 0.5.0

Prompt

Use the following for prompting

prompt = "### Human: "+instruction+"### Assistant: "

merged following the gist https://gist.github.com/ChrisHayduk/1a53463331f52dca205e55982baf9930

Guidance from https://kaitchup.substack.com/

Work supported by https://datacrunch.io/