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 …
Runs locally from ~4.58 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Llama-3.1-8B-Instruct-Merged-Q4_K_M.gguf | GGUF | Q4_K_M | 4.58 GB | Download |
Model Details
| Model ID | Owmen/llama-8B-gpt-3.5-turbo-gguf |
|---|---|
| Author | Owmen |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | unsloth/Meta-Llama-3.1-8B-Instruct |
| Last modified | 2026-06-22T17:51:50.000Z |
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
Run Owmen/llama-8B-gpt-3.5-turbo-gguf with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models