This model is intended to be used to create instruction-following datasets by predicting a question by passing an answer to it.
Out-of-Scope Use
[More Information Needed]
Bias, Risks, and Limitations
[More Information Needed]
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
The following
bitsandbytes
quantization config was used during training:
quant_method: QuantizationMethod.BITS_AND_BYTES
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: False
bnb_4bit_compute_dtype: float16
Framework versions
PEFT 0.6.2
Runs of Locutusque TinyMistral-248M-QuestionMaker on huggingface.co
3
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
-1
30-day runs
More Information About TinyMistral-248M-QuestionMaker huggingface.co Model
TinyMistral-248M-QuestionMaker huggingface.co
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TinyMistral-248M-QuestionMaker install url in huggingface.co: