What are the hardware requirements for ALLaM 7B Instruct Preview Reasoning?

ALLaM 7B Instruct Preview Reasoning requires approximately 14 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ALLaM 7B Instruct Preview Reasoning and how large is it?

ALLaM 7B Instruct Preview Reasoning is developed by adeebaldkheel, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does ALLaM 7B Instruct Preview Reasoning perform on standard benchmarks?

ALLaM 7B Instruct Preview Reasoning has the following published scores: LMSYS ELO 1194. Compare against reference models on this page or on the LLM Explorer leaderboards.

ALLaM 7B Instruct Preview Reasoning by adeebaldkheel — VRAM 14GB, 4K context

Name: ALLaM 7B Instruct Preview Reasoning
Author: adeebaldkheel

ALLaM 7B Instruct Preview Reasoning is an open-source language model by adeebaldkheel. Features: 7b LLM, VRAM: 14GB, Context: 4K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.29, ELO: 1194.

Ar Base model:humain-ai/allam-7b-... Base model:quantized:humain-ai... Conversational En Endpoints compatible Gguf Instruct Llama Q8 Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/adeebaldkheel/ALLaM-7B-Instruct-preview-reasoning

ALLaM 7B Instruct Preview Reasoning Benchmarks

LMSys ELO 1194 vs 1272 (so35) -6.1%

^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)

ALLaM 7B Instruct Preview Reasoning Parameters and Internals

LLM Name	ALLaM 7B Instruct Preview Reasoning
Repository 🤗	https://huggingface.co/adeebaldkheel/ALLaM-7B-Instruct-preview-reasoning
Base Model(s)	ALLaM 7B Instruct Preview ALLaM-AI/ALLaM-7B-Instruct-preview
Model Size	7b
Required VRAM	14 GB
Updated	2026-08-04
Maintainer	adeebaldkheel
Model Type	llama
Instruction-Based	Yes
Model Files	7.4 GB 5.0 GB: 1-of-3 5.0 GB: 2-of-3 4.0 GB: 3-of-3
Supported Languages	ar en
GGUF Quantization	Yes
Quantization Type	q8\|gguf
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.49.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the ALLaM 7B Instruct Preview Reasoning 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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