metadata

base_model: Felladrin/TinyMistral-248M-SFT-v4
datasets:
  - OpenAssistant/oasst_top1_2023-08-25
inference: false
license: apache-2.0
model_creator: Felladrin
model_name: TinyMistral-248M-SFT-v4
pipeline_tag: text-generation
quantized_by: afrideva
tags:
  - text-generation
  - gguf
  - ggml
  - quantized
  - q2_k
  - q3_k_m
  - q4_k_m
  - q5_k_m
  - q6_k
  - q8_0
widget:
  - text: >-
      <|im_start|>user

      Invited some friends to come home today. Give me some ideas for games to
      play with them!<|im_end|>

      <|im_start|>assistant
  - text: >-
      <|im_start|>user

      How do meteorologists predict how much air pollution will be produced in
      the next year?<|im_end|>

      <|im_start|>assistant
  - text: |-
      <|im_start|>user
      Who is Mona Lisa?<|im_end|>
      <|im_start|>assistant
  - text: >-
      <|im_start|>user

      Heya!<|im_end|>

      <|im_start|>assistant

      Hi! How may I help you today?<|im_end|>

      <|im_start|>user

      I need to build a simple website. Where should I start learning about web
      development?<|im_end|>

      <|im_start|>assistant
  - text: |-
      <|im_start|>user
      What are some potential applications for quantum computing?<|im_end|>
      <|im_start|>assistant
  - text: >-
      <|im_start|>user

      Write the specs of a game about dragons and warriors in a fantasy
      world.<|im_end|>

      <|im_start|>assistant
  - text: |-
      <|im_start|>user
      Got a question for you!<|im_end|>
      <|im_start|>assistant
      Sure! What's it?<|im_end|>
      <|im_start|>user
      Why do you love cats so much!? 🐈<|im_end|>
      <|im_start|>assistant
  - text: |-
      <|im_start|>user
      Tell me about the pros and cons of social media.<|im_end|>
      <|im_start|>assistant

Felladrin/TinyMistral-248M-SFT-v4-GGUF

Quantized GGUF model files for TinyMistral-248M-SFT-v4 from Felladrin

Name	Quant method	Size
tinymistral-248m-sft-v4.fp16.gguf	fp16	497.75 MB
tinymistral-248m-sft-v4.q2_k.gguf	q2_k	116.20 MB
tinymistral-248m-sft-v4.q3_k_m.gguf	q3_k_m	131.01 MB
tinymistral-248m-sft-v4.q4_k_m.gguf	q4_k_m	156.60 MB
tinymistral-248m-sft-v4.q5_k_m.gguf	q5_k_m	180.16 MB
tinymistral-248m-sft-v4.q6_k.gguf	q6_k	205.20 MB
tinymistral-248m-sft-v4.q8_0.gguf	q8_0	265.26 MB

Original Model Card:

Locutusque's TinyMistral-248M trained on OpenAssistant TOP-1 Conversation Threads

Base model: Locutusque/TinyMistral-248M
Dataset: OpenAssistant/oasst_top1_2023-08-25
Availability in other ML formats:
- GGUF: Felladrin/gguf-TinyMistral-248M-SFT-v4
- ONNX: Felladrin/onnx-TinyMistral-248M-SFT-v4

Recommended Prompt Format

<|im_start|>user
{message}<|im_end|>
<|im_start|>assistant