What are the hardware requirements for St1 Llama Response Sft?

St1 Llama Response Sft requires approximately 2.5 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 St1 Llama Response Sft and how large is it?

St1 Llama Response Sft is developed by SaketR1, a model with 1b 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 St1 Llama Response Sft?

St1 Llama Response Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

St1 Llama Response Sft by SaketR1 — VRAM 2.5GB, 128K context

Name: St1 Llama Response Sft
Author: SaketR1

St1 Llama Response Sft is an open-source language model by SaketR1. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, LLM Explorer Score: 0.3.

Base model:finetune:pursuitofd... Base model:pursuitofdatascienc... Conversational Endpoints compatible Generated from trainer Llama Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/SaketR1/st1-llama-response-sft

St1 Llama Response Sft Benchmarks

LLME Score: 0.29901

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

St1 Llama Response Sft (SaketR1/st1-llama-response-sft)

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St1 Llama Response Sft Parameters and Internals

LLM Name	St1 Llama Response Sft
Repository 🤗	https://huggingface.co/SaketR1/st1-llama-response-sft
Model Name	st1-llama-response-sft
Base Model(s)	PursuitOfDataScience/llama3.2-1b-thinking PursuitOfDataScience/llama3.2-1b-thinking
Model Size	1b
Required VRAM	2.5 GB
Updated	2026-05-24
Maintainer	SaketR1
Model Type	llama
Model Files	2.5 GB 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	5.8.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256

Best Alternatives to St1 Llama Response Sft

Best Alternatives	Context / RAM	Downloads	Likes
ISA 02 Nano Llama 3.2 1B	1024K / 2.5 GB	2107	4
LWM Text Chat 1M	1024K / 13.5 GB	1693	173
LWM Text 1M	1024K / 13.5 GB	1149	29
JOSIE 1M Base	1024K / 13.5 GB	12	1
JOSIE 1M Base	1024K / 13.5 GB	6	1
Llama 3.2 1B Instruct	128K / 2.5 GB	6336819	1393
Llama 3.2 1B	128K / 2.5 GB	3306012	2082
...2 1B Instruct Only Mask W Item	128K / 3 GB	2530	0
Llama 3.2 1B Instruct Bf16	128K / 2.5 GB	1158	5
MaidEllaA 1B	128K / 2.5 GB	933	2

Note: green Score (e.g. "73.2") means that the model is better than SaketR1/st1-llama-response-sft.

Rank the St1 Llama Response Sft Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Release v20260328a

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St1 Llama Response Sft by SaketR1

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St1 Llama Response Sft Benchmarks

St1 Llama Response Sft Parameters and Internals

Best Alternatives to St1 Llama Response Sft

Rank the St1 Llama Response Sft Capabilities

What open-source LLMs or SLMs are you in search of? 53942 in total.