base_model, datasets, inference, license, model_creator, model_name, pipeline_tag, quantized_by, tags, widget

base_model	datasets	inference	license	model_creator	model_name	pipeline_tag	quantized_by	tags	widget
Felladrin/TinyMistral-248M-Alpaca	tatsu-lab/alpaca	false	apache-2.0	Felladrin	TinyMistral-248M-Alpaca	text-generation	afrideva	autotrain text-generation gguf ggml quantized q2_k q3_k_m q4_k_m q5_k_m q6_k q8_0	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: