What are the hardware requirements for Temp Model Sft?

Temp Model Sft requires approximately 1.3 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Temp Model Sft and how large is it?

Temp Model Sft is developed by Tachi67, a model with 350m 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 Temp Model Sft?

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

Temp Model Sft by Tachi67 — VRAM 1.3GB, 2K context

Name: Temp Model Sft
Author: Tachi67

Temp Model Sft is an open-source language model by Tachi67. Features: 350m LLM, VRAM: 1.3GB, Context: 2K, LLM Explorer Score: 0.12.

Arxiv:1910.09700 Endpoints compatible Opt Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/Tachi67/temp_model_sft

Temp Model Sft Parameters and Internals

LLM Name	Temp Model Sft
Repository 🤗	https://huggingface.co/Tachi67/temp_model_sft
Model Size	350m
Required VRAM	1.3 GB
Updated	2026-05-14
Maintainer	Tachi67
Model Type	opt
Model Files	1.3 GB
Model Architecture	OPTForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.38.2
Tokenizer Class	GPT2Tokenizer
Padding Token	<pad>
Vocabulary Size	50272
Torch Data Type	float32
Activation Function	relu
Errors	replace

Rank the Temp Model Sft 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 Temp Model Sft

Best Alternatives	Context / RAM	Downloads	Likes
Opt 350M	2K / 0.7 GB	198521	149
Opt Mini Dataset 0	2K / 0.7 GB	8	0
Facebook Opt 350M SFT Korz14	2K / 0.7 GB	12	0
Gpt350 Chat S V0	2K / 0.7 GB	6	0
Gpt350 Chat S V0 1	2K / 0.7 GB	5	0
Dadjokes Tuned Opt	2K / 1.3 GB	8	2
Pygmalion 350M	2K / 1.3 GB	348	54
Rockyalquimista888	2K / 1.3 GB	8	0
Remedycure	2K / 1.3 GB	6	0
Sunday	2K / 1.3 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than Tachi67/temp_model_sft.