What are the hardware requirements for Error Q1.5 500steps 1e6rate SFT?

Error Q1.5 500steps 1e6rate SFT requires approximately 3.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Error Q1.5 500steps 1e6rate SFT and how large is it?

Error Q1.5 500steps 1e6rate SFT is developed by tsavage68, 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 Error Q1.5 500steps 1e6rate SFT?

Error Q1.5 500steps 1e6rate SFT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Error Q1.5 500steps 1e6rate SFT by tsavage68 — VRAM 3.5GB, 128K context

Name: Error Q1.5 500steps 1e6rate SFT
Author: tsavage68

Error Q1.5 500steps 1e6rate SFT is an open-source language model by tsavage68. Features: 1.5b LLM, VRAM: 3.5GB, Context: 128K, License: mit, LLM Explorer Score: 0.17.

Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Conversational Endpoints compatible Generated from trainer Qwen2 Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/tsavage68/Error_Q1.5_500steps_1e6rate_SFT

Error Q1.5 500steps 1e6rate SFT Parameters and Internals

LLM Name	Error Q1.5 500steps 1e6rate SFT
Repository 🤗	https://huggingface.co/tsavage68/Error_Q1.5_500steps_1e6rate_SFT
Base Model(s)	deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
Model Size	1.5b
Required VRAM	3.5 GB
Updated	2026-07-15
Maintainer	tsavage68
Model Type	qwen2
Model Files	3.5 GB 0.0 GB
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	151936
Torch Data Type	float16

Rank the Error Q1.5 500steps 1e6rate SFT capabilities

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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 Error Q1.5 500steps 1e6rate SFT

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	11	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
Qwen2.5 1.5B	128K / 3.1 GB	863295	203
VibeThinker 1.5B	128K / 3.5 GB	3417	552
Merge Cord V1	128K / 3.1 GB	155	1
...FT Tulu3 Decontaminated Masked	128K / 3.1 GB	167	0
Qwen2 1.5B	128K / 3.1 GB	195380	102

Note: green Score (e.g. "73.2") means that the model is better than tsavage68/Error_Q1.5_500steps_1e6rate_SFT.