What are the hardware requirements for Sandmisthink24BKaalpac?

Sandmisthink24BKaalpac requires approximately 47.3 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 Sandmisthink24BKaalpac and how large is it?

Sandmisthink24BKaalpac is developed by UniLLMer, a model with 23.6b 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 Sandmisthink24BKaalpac?

Sandmisthink24BKaalpac is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Sandmisthink24BKaalpac by UniLLMer — VRAM 47.3GB, 32K context

Name: Sandmisthink24BKaalpac
Author: UniLLMer

Sandmisthink24BKaalpac is an open-source language model by UniLLMer. Features: 23.6b LLM, VRAM: 47.3GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.18.

Autotrain compatible Base model:finetune:sandmanbuz... Base model:sandmanbuzz/mistral... Conversational En Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/UniLLMer/Sandmisthink24BKaalpac

Sandmisthink24BKaalpac Parameters and Internals

LLM Name	Sandmisthink24BKaalpac
Repository 🤗	https://huggingface.co/UniLLMer/Sandmisthink24BKaalpac
Base Model(s)	sandmanbuzz/MistralThinker-v1.1-Reasoner-256 sandmanbuzz/MistralThinker-v1.1-Reasoner-256
Model Size	23.6b
Required VRAM	47.3 GB
Updated	2025-06-14
Maintainer	UniLLMer
Model Type	mistral
Model Files	9.9 GB: 1-of-5 9.7 GB: 2-of-5 9.7 GB: 3-of-5 10.0 GB: 4-of-5 8.0 GB: 5-of-5
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.52.4
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Sandmisthink24BKaalpac 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 Sandmisthink24BKaalpac

Best Alternatives	Context / RAM	Downloads	Likes
MagiSeek V1.1	128K / 47.3 GB	77	1
Experiment024b	128K / 47.3 GB	14	3
Chat KTO	128K / 47.3 GB	7	0
Chat KTO	128K / 47.3 GB	6	0
Devstral Samll 2507 Bf16	128K / 46.9 GB	24	1
Devstral Small 2505 Bf16	128K / 46.9 GB	55	1
Magistral Small 2506	40K / 47.3 GB	36	0
...stral Small 2501 Tensopolis V1	32K / 47.3 GB	6	0
XortronCriminalComputingConfig	32K / 47.3 GB	314	172
Magistral Small 2506 Bf16	32K / 46.9 GB	33	10

Note: green Score (e.g. "73.2") means that the model is better than UniLLMer/Sandmisthink24BKaalpac.