What are the hardware requirements for Model Sft Lora Fused?

Model Sft Lora Fused requires approximately 3.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Model Sft Lora Fused and how large is it?

Model Sft Lora Fused is developed by anirvankrishna, a model with 1.5b 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 Model Sft Lora Fused?

Model Sft Lora Fused is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Model Sft Lora Fused by anirvankrishna — VRAM 3.1GB, 32K context

Name: Model Sft Lora Fused
Author: anirvankrishna

Model Sft Lora Fused is an open-source language model by anirvankrishna. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, LLM Explorer Score: 0.22.

Arxiv:1910.09700 Endpoints compatible Lora Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/anirvankrishna/model_sft_lora_fused

Model Sft Lora Fused Parameters and Internals

LLM Name	Model Sft Lora Fused
Repository 🤗	https://huggingface.co/anirvankrishna/model_sft_lora_fused
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-06-26
Maintainer	anirvankrishna
Model Type	qwen2
Model Files	3.1 GB 0.0 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	5.0.0
Vocabulary Size	151936
LoRA Model	Yes

Rank the Model Sft Lora Fused 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 Model Sft Lora Fused

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	27	0
ReaderLM V2	500K / 3.1 GB	35356	804
Reader Lm 1.5B	250K / 3.1 GB	385	608
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	600051	1545
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
When2Think ThinkOnly 1.5B	128K / 7.1 GB	366	7
Qwen2.5 1.5B OpenR1 SFT	128K / 7.1 GB	152	0
My Fine Tuned Qwen	128K / 3.1 GB	360	1
Edu Slm	128K / 3.5 GB	358	1
MLR Executor Qwen 1.5B	128K / 3.5 GB	503	0

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