What are the hardware requirements for Deep Thought Posttrain?

Deep Thought Posttrain requires approximately 0.7 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 Deep Thought Posttrain and how large is it?

Deep Thought Posttrain is developed by tsfrm, a model with 360m 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 Deep Thought Posttrain?

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

Deep Thought Posttrain by tsfrm — VRAM 0.7GB, 8K context

Name: Deep Thought Posttrain
Author: tsfrm

Deep Thought Posttrain is an open-source language model by tsfrm. Features: 360m LLM, VRAM: 0.7GB, Context: 8K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.33.

Always-42 Base model:huggingfacetb/smoll... Base model:quantized:huggingfa... Conversational Cot Deep-thought Dont-panic Douglas-adams En Endpoints compatible Gguf Hitchhikers-guide Instruct Llama Ollama Quantized Reasoning Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/tsfrm/Deep-Thought-Posttrain

Deep Thought Posttrain Parameters and Internals

LLM Name	Deep Thought Posttrain
Repository 🤗	https://huggingface.co/tsfrm/Deep-Thought-Posttrain
Base Model(s)	SmolLM2 360M Instruct HuggingFaceTB/SmolLM2-360M-Instruct
Model Size	360m
Required VRAM	0.7 GB
Updated	2026-08-18
Maintainer	tsfrm
Model Type	llama
Instruction-Based	Yes
Model Files	0.7 GB 0.7 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	5.15.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	49152
Errors	replace

Rank the Deep Thought Posttrain 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 Deep Thought Posttrain

Best Alternatives	Context / RAM	Downloads	Likes
SmolLM2 360M Merged	8K / 0.7 GB	20	0
SmolLM2 360M Instruct Bnb 4bit	8K / 0.3 GB	520	3
SmolLM2 360M Instruct Q8 Mlx	8K / 0.4 GB	93	1
SmolLM2 360M Bnb 4bit	8K / 0.3 GB	46	2
SmolLM 360M Instruct 8bit	2K / 0.4 GB	46	2
Smol Lm2 360 Instruct	8K / 0.7 GB	384	3
SmolLM2 360M Instruct	8K / 0.7 GB	476032	208
Smollm2 360M Text2sql Sft	8K / 1.4 GB	194	0
Smollm3 720prms	8K / 0.7 GB	5	0
ProseFlow V1 360M Instruct	8K / 0.7 GB	5	1