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Owmen/llama-8B-gpt-3.5-turbo-gguf overview

Model Card for Model ID This was a llama 3.1 8B fine tune on data generated by gpt 3.5 turbo to archive it, as openai is suspected to remove it from the API I …

peftgguflorasfttransformerstrlunslothtext-generationarxiv:1910.09700base_model:unsloth/Meta-Llama-3.1-8B-Instructbase_model:adapter:unsloth/Meta-Llama-3.1-8B-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~4.58 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).

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text-generation
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Repository Files & Downloads

1 GGUF files detected
Direct downloads for local inference
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Llama-3.1-8B-Instruct-Merged-Q4_K_M.ggufGGUFQ4_K_M4.58 GBDownload

Model Details

Model IDOwmen/llama-8B-gpt-3.5-turbo-gguf
AuthorOwmen
Pipelinetext-generation
Licenseapache-2.0
Base modelunsloth/Meta-Llama-3.1-8B-Instruct
Last modified2026-06-22T17:51:50.000Z

Model README

---

base_model: unsloth/Meta-Llama-3.1-8B-Instruct

library_name: peft

pipeline_tag: text-generation

tags:

  • lora
  • sft
  • transformers
  • trl
  • unsloth

license: apache-2.0

---

Model Card for Model ID

This was a llama 3.1 8B fine tune on data generated by gpt 3.5 turbo to archive it, as openai is suspected to remove it from the API I decided it would be fun

to encapsulate the old with the new(ish)

Model Details

Model Description

<!-- Provide a longer summary of what this model is. -->

  • Developed by: ME
  • Funded by [optional]: ME
  • Shared by [optional]: ME
  • Model type: llama
  • Language(s) (NLP): Should cover all by llama 3.1 but Idk if they share the same personality
  • License: Apache 2.0
  • Finetuned from model [optional]: Llama 3.1 8B

Model Sources [optional]

<!-- Provide the basic links for the model. -->

  • Repository: Owmen/GPT-3.5-Pippa-and-artificial
  • Paper [optional]: None
  • Demo [optional]: None

Uses

Whatever you want ig

Direct Use

Use if you want gpt 3.5 turbo for whatever reason (If you're dougdoug)

[More Information Needed]

Environmental Impact

<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • Hardware Type: A single 9070 xt
  • Hours used: 2-3
  • Cloud Provider: ME
  • Compute Region: My PC
  • Carbon Emitted: est: 420g-630g (thats... alot for one gpu)

Out-of-Scope Use

Not intended for high-stakes production environments requiring factual mathematical calculations or absolute truth validation. It will carry over the quirks, biases, and hallucinations inherent to both GPT-3.5 and Llama 3.1.

Framework Versions

  • PEFT 0.19.1
  • Unsloth

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