What are the hardware requirements for Text Completion?

Text Completion requires approximately 2.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Text Completion and how large is it?

Text Completion is developed by kathleenge, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Text Completion?

Text Completion is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Text Completion by kathleenge — VRAM 2.4GB

Name: Text Completion
Author: kathleenge

Text Completion is an open-source language model by kathleenge. Features: 7b LLM, VRAM: 2.4GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

4bit Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-... En Endpoints compatible Lora Mistral Quantized Region:us Safetensors Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/kathleenge/text_completion

Text Completion Parameters and Internals

Model Type

text-generation-inference

Additional Notes

Trained 2x faster using Unsloth and Huggingface's TRL library.

Supported Languages

en (fluent)

LLM Name	Text Completion
Repository 🤗	https://huggingface.co/kathleenge/text_completion
Base Model(s)	unsloth/mistral-7b-v0.3-bnb-4bit unsloth/mistral-7b-v0.3-bnb-4bit
Model Size	7b
Required VRAM	2.4 GB
Updated	2025-03-21
Maintainer	kathleenge
Model Files	2.4 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	AutoModel
License	apache-2.0
Model Max Length	32768
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	[control_768]
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	o_proj\|down_proj\|up_proj\|k_proj\|q_proj\|gate_proj\|v_proj
LoRA Alpha	32
LoRA Dropout	0
R Param	128

Rank the Text Completion capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Text Completion

Best Alternatives	Context / RAM	Downloads	Likes
Oveu 1.1 8B	0K / 0.3 GB	42	1
Deepseek Personalizado Lora	0K / 0 GB	28	0
...entesterFlow V3 Reasoning LoRA	0K / 0 GB	6	0
Lora	0K / 0.2 GB	19	0
Qwen 2.5 7B S1k Lora Model	0K / 0.2 GB	0	1
Mistral 7B News Cnn Merged	0K / 0.3 GB	0	1
Qwen 2.1 7B Persona Lora Model	0K / 0.2 GB	0	1
Qwen2.5 7B Exp2 Lora Model	0K / 0.2 GB	0	1
Qwen 2.5 7B Rp Lora	0K / 0.2 GB	0	3
Text Completion	0K / 2.4 GB	0	1

Note: green Score (e.g. "73.2") means that the model is better than kathleenge/text_completion.