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README.md
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---
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language: en
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tags:
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license: mit
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widget:
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---
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# B1ade
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---
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language: en
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tags:
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- b1ade
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license: mit
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widget:
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- text: |-
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context: <math>
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question: <Evaluate -24 + -24 + 15*2.>
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answer: <
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example_title: Math
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- text: >-
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context: <You are a helpful assistant, who always provide explanation. Think
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like you are answering to a five year old.>
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question: <Determine the sentiment:
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We viewed the vcr and found it to be fascinating. Not knowing anything about
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this true story, I thought: Oh, no, P.Brosnan as an American Indian, what a
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bad choice until I discovered the truth about Grey Owl. The film does a good
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job of demonstrating the dignity of these native peoples and undermining the
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racist myths about them. And Annie Galipeau, WOW, what a beauty, and very
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convincing as an Indian woman (I believe she is French-Canadian; she sure
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reverts to the all-too familiar speech of such). In spite, of Brosnan's
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detached, grunting style, in the end he comes through convincingly as a
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passionate, dedicated man. The plot is a little weak in demostrating his
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conversion from trapper to animal coservationist. Good film, highly
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recommended.>
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answer: <
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example_title: Sentiment
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- inference:
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- parameters:
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- max_new_tokens: 512
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- top_p=0.99
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datasets:
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- Open-Orca/OpenOrca
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- WizardLM/WizardLM_evol_instruct_V2_196k
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---
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# B1ade
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Stable revision:
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```
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from transformers import AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("w601sxs/b1ade-1b", torch_dtype=torch.bfloat16, device_map="auto", revision='b4b0fd71589e6590089e1ec14a840ecab10894ae')
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```
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