What are the hardware requirements for Qwen3 1.7B Sft Bigchat V2?

Qwen3 1.7B Sft Bigchat V2 requires approximately 3.4 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 Qwen3 1.7B Sft Bigchat V2 and how large is it?

Qwen3 1.7B Sft Bigchat V2 is developed by LiberteEPFL, a model with 1.7b 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 Qwen3 1.7B Sft Bigchat V2?

Qwen3 1.7B Sft Bigchat V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 1.7B Sft Bigchat V2 by LiberteEPFL — VRAM 3.4GB, 32K context

Name: Qwen3 1.7B Sft Bigchat V2
Author: LiberteEPFL

Qwen3 1.7B Sft Bigchat V2 is an open-source language model by LiberteEPFL. Features: 1.7b LLM, VRAM: 3.4GB, Context: 32K, LLM Explorer Score: 0.32.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b-bas... Conversational Endpoints compatible Generated from trainer Qwen3 Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/LiberteEPFL/qwen3-1.7b-sft-bigchat-v2

Qwen3 1.7B Sft Bigchat V2 Benchmarks

LLME Score: 0.32021

^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)

Qwen3 1.7B Sft Bigchat V2 (LiberteEPFL/qwen3-1.7b-sft-bigchat-v2)

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Qwen3 1.7B Sft Bigchat V2 Parameters and Internals

LLM Name	Qwen3 1.7B Sft Bigchat V2
Repository 🤗	https://huggingface.co/LiberteEPFL/qwen3-1.7b-sft-bigchat-v2
Model Name	qwen3-1.7b-sft-bigchat-v2
Base Model(s)	Qwen/Qwen3-1.7B-Base Qwen/Qwen3-1.7B-Base
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-06-02
Maintainer	LiberteEPFL
Model Type	qwen3
Model Files	3.4 GB 0.0 GB
Model Architecture	Qwen3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Best Alternatives to Qwen3 1.7B Sft Bigchat V2

Best Alternatives	Context / RAM	Downloads	Likes
Lucy 128K	128K / 3.4 GB	2702	109
Polaris 1.7B Preview	128K / 3.4 GB	41	8
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	1105	1
Qwen3 1.7B	40K / 4 GB	4405505	475
Supertron2 1.7B	40K / 3.4 GB	3046	7
Safety Model	40K / 3.4 GB	1100	0
...up Qwen3 1.7B Datav3 Only Mask	40K / 4.1 GB	2256	0
Qwen3 1.7B Fft Coding	40K / 4.1 GB	1343	0
...3 1.7B Datav3 Only Mask W Item	40K / 4.1 GB	1196	0
Qwen3 1.7B Fft If	40K / 4.1 GB	183	0

Note: green Score (e.g. "73.2") means that the model is better than LiberteEPFL/qwen3-1.7b-sft-bigchat-v2.

Rank the Qwen3 1.7B Sft Bigchat V2 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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Qwen3 1.7B Sft Bigchat V2 by LiberteEPFL

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Qwen3 1.7B Sft Bigchat V2 Benchmarks

Qwen3 1.7B Sft Bigchat V2 Parameters and Internals

Best Alternatives to Qwen3 1.7B Sft Bigchat V2

Rank the Qwen3 1.7B Sft Bigchat V2 Capabilities

What open-source LLMs or SLMs are you in search of? 54215 in total.