What are the hardware requirements for Lingdan 4B SFT?

Lingdan 4B SFT requires approximately 8.1 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 Lingdan 4B SFT and how large is it?

Lingdan 4B SFT is developed by TCMLLM, a model with 4b 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 Lingdan 4B SFT?

Lingdan 4B SFT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lingdan 4B SFT by TCMLLM — VRAM 8.1GB, 32K context

Name: Lingdan 4B SFT
Author: TCMLLM

Lingdan 4B SFT is an open-source language model by TCMLLM. Features: 4b LLM, VRAM: 8.1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.28.

Base model:finetune:tcmllm/lin... Base model:tcmllm/lingdan-4b-b... Conversational Endpoints compatible Lingdan-v2 Qwen3 Region:us Safetensors Sft Sharded Tensorflow Traditional-chinese-medicine Zh

Model Card on HF 🤗: https://huggingface.co/TCMLLM/Lingdan-4B-SFT

Lingdan 4B SFT Parameters and Internals

LLM Name	Lingdan 4B SFT
Repository 🤗	https://huggingface.co/TCMLLM/Lingdan-4B-SFT
Base Model(s)	Lingdan 4B Base TCMLLM/Lingdan-4B-Base
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-10-13
Maintainer	TCMLLM
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Supported Languages	zh
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Lingdan 4B 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 Lingdan 4B SFT

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
GRPO 4 70	256K / 8.1 GB	14	0
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
SRA RiskGate 4B	256K / 8 GB	2662	1
Lightning 4B	256K / 8.1 GB	13	6
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Mgi Assistant V1 Qwen3 4B	256K / 8.1 GB	669	1
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61

Note: green Score (e.g. "73.2") means that the model is better than TCMLLM/Lingdan-4B-SFT.