What are the hardware requirements for CT LLM SFT?

CT LLM SFT requires a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed CT LLM SFT and how large is it?

CT LLM SFT is developed by m-a-p, a model with 2.1b 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 CT LLM SFT?

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

CT LLM SFT by m-a-p — 4K context

Name: CT LLM SFT
Author: m-a-p

CT LLM SFT is an open-source language model by m-a-p. Features: 2.1b LLM, Context: 4K, LLM Explorer Score: 0.13.

Arxiv:2404.04167 Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/m-a-p/CT-LLM-SFT

CT LLM SFT Benchmarks

LLME Score: 0.12671

^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)

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CT LLM SFT Parameters and Internals

Model Type

CausalLM

Additional Notes

Developed for academic purposes, with rigorously compliance-checked training data. Users should report concerns related to data misuse, security breaches, or potential infringement issues.

LLM Name	CT LLM SFT
Repository 🤗	https://huggingface.co/m-a-p/CT-LLM-SFT
Model Size	2.1b
Required VRAM	0 GB
Updated	2026-03-27
Maintainer	m-a-p
Model Type	llama
Model Files	4.3 GB 0.0 GB 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.37.2
Tokenizer Class	BaichuanTokenizer
Padding Token	<unk>
Vocabulary Size	125824
Torch Data Type	bfloat16

Best Alternatives to CT LLM SFT

Best Alternatives	Context / RAM	Downloads	Likes
Kanana 1.5 2.1B Instruct 2505	32K / 4.6 GB	6578	37
Fc Reasoning 2.1B	32K / 4.2 GB	10	0
Kanana 1.5 2.1B Base	32K / 4.2 GB	281	13
Kanana Safeguard Prompt 2.1B	8K / 4.2 GB	1150	17
Kanana Nano 2.1B Instruct	8K / 4.2 GB	1177	75
Kanana Nano 2.1B Base	8K / 4.2 GB	1497	39
DAMI Base Merge 0408	8K / 4.6 GB	5	0
EcomGen 0.0.2v	8K / 8.4 GB	6	0
CT LLM Base	4K / 4.3 GB	63	11
CT LLM SFT DPO	4K / 0 GB	23	5

Note: green Score (e.g. "73.2") means that the model is better than m-a-p/CT-LLM-SFT.

Rank the CT LLM 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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CT LLM SFT by m-a-p

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CT LLM SFT Benchmarks

CT LLM SFT Parameters and Internals

Best Alternatives to CT LLM SFT

Rank the CT LLM SFT Capabilities

What open-source LLMs or SLMs are you in search of? 53205 in total.