What are the hardware requirements for D24 Climbmix Dolmino Midtrain 100B?

D24 Climbmix Dolmino Midtrain 100B requires approximately 1.5 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed D24 Climbmix Dolmino Midtrain 100B and how large is it?

D24 Climbmix Dolmino Midtrain 100B is developed by ftajwar, a model with 100b 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 D24 Climbmix Dolmino Midtrain 100B?

D24 Climbmix Dolmino Midtrain 100B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

D24 Climbmix Dolmino Midtrain 100B by ftajwar — VRAM 1.5GB, 2K context

Name: D24 Climbmix Dolmino Midtrain 100B
Author: ftajwar

D24 Climbmix Dolmino Midtrain 100B is an open-source language model by ftajwar. Features: 100b LLM, VRAM: 1.5GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.26.

Base-model Continued-pretraining En Endpoints compatible Llama Midtraining Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ftajwar/d24-climbmix-dolmino-midtrain-100b

D24 Climbmix Dolmino Midtrain 100B Parameters and Internals

LLM Name	D24 Climbmix Dolmino Midtrain 100B
Repository 🤗	https://huggingface.co/ftajwar/d24-climbmix-dolmino-midtrain-100b
Model Size	100b
Required VRAM	1.5 GB
Updated	2026-07-15
Maintainer	ftajwar
Model Type	llama
Model Files	1.5 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	5.3.0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	50304
Errors	replace

Rank the D24 Climbmix Dolmino Midtrain 100B capabilities

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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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Note: green Score (e.g. "73.2") means that the model is better than ftajwar/d24-climbmix-dolmino-midtrain-100b.