What are the hardware requirements for 34337 Sft?

34337 Sft requires approximately 5.2 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed 34337 Sft and how large is it?

34337 Sft is developed by williamlcn, a model with 2b 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 34337 Sft?

34337 Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

34337 Sft by williamlcn — VRAM 5.2GB, 8K context

Name: 34337 Sft
Author: williamlcn

34337 Sft is an open-source language model by williamlcn. Features: 2b LLM, VRAM: 5.2GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.17.

Autotrain compatible Base model:finetune:unsloth/ge... Base model:unsloth/gemma-2-2b-... Conversational En Endpoints compatible Gemma2 Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/williamlcn/34337_sft

34337 Sft Parameters and Internals

LLM Name	34337 Sft
Repository 🤗	https://huggingface.co/williamlcn/34337_sft
Base Model(s)	Gemma 2 2B It unsloth/gemma-2-2b-it
Model Size	2b
Required VRAM	5.2 GB
Updated	2025-09-23
Maintainer	williamlcn
Model Type	gemma2
Model Files	5.0 GB: 1-of-2 0.2 GB: 2-of-2
Supported Languages	en
Model Architecture	Gemma2ForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.48.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the 34337 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 34337 Sft

Best Alternatives	Context / RAM	Downloads	Likes
SJT 2B	128K / 5.2 GB	16	0
SILMA Kashif 2B Instruct V1.0	12K / 5.2 GB	992	24
...mma 2 2B Jpn It Finetuning Sft	8K / 5.2 GB	14	0
Gemma 2 2B It	8K / 5.2 GB	10	0
Gemma 2 2B It	8K / 5.2 GB	593671	1437
Gemma 2 2B It	8K / 5.2 GB	18991	19
Gemma 2B It Gen Poem	8K / 5.2 GB	2	1
Gemma 2 2B Legal Financial Sft	8K / 5.2 GB	297	0
Gemma 2 2B	8K / 10.5 GB	218629	685
Slm Gemma 2B Qa	8K / 5.2 GB	24	0

Note: green Score (e.g. "73.2") means that the model is better than williamlcn/34337_sft.