metadata
base_model: Felladrin/TinyMistral-248M-Alpaca
datasets:
- tatsu-lab/alpaca
inference: false
license: apache-2.0
model_creator: Felladrin
model_name: TinyMistral-248M-Alpaca
pipeline_tag: text-generation
quantized_by: afrideva
tags:
- autotrain
- text-generation
- gguf
- ggml
- quantized
- q2_k
- q3_k_m
- q4_k_m
- q5_k_m
- q6_k
- q8_0
widget:
- text: >-
Below is an instruction that describes a task. Write a response that
appropriately completes the request.
### Instruction:
Tell me all you know about the Earth.
### Response:
Felladrin/TinyMistral-248M-Alpaca-GGUF
Quantized GGUF model files for TinyMistral-248M-Alpaca from Felladrin
Name | Quant method | Size |
---|---|---|
tinymistral-248m-alpaca.q2_k.gguf | q2_k | 115.26 MB |
tinymistral-248m-alpaca.q3_k_m.gguf | q3_k_m | 130.08 MB |
tinymistral-248m-alpaca.q4_k_m.gguf | q4_k_m | 155.67 MB |
tinymistral-248m-alpaca.q5_k_m.gguf | q5_k_m | 179.23 MB |
tinymistral-248m-alpaca.q6_k.gguf | q6_k | 204.26 MB |
tinymistral-248m-alpaca.q8_0.gguf | q8_0 | 264.32 MB |
Original Model Card:
Locutusque's TinyMistral-248M Trained trained on the Alpaca dataset using AutoTrain
- Base model: Locutusque/TinyMistral-248M
- Dataset: tatsu-lab/alpaca
- Trained for 3 epochs.
Prompt format
The training used these two following formats.
Prompt format #1
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
<instruction>
### Response:
Prompt format #2
Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
### Instruction:
<instruction>
### Input:
<input>
### Response: