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ALLaM 7B Instruct Preview Reasoning by adeebaldkheel

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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: 0.18.

  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

LLME Score: 0.18109
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ALLaM 7B Instruct Preview Reasoning (adeebaldkheel/ALLaM-7B-Instruct-preview-reasoning)
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ALLaM 7B Instruct Preview Reasoning Parameters and Internals

LLM NameALLaM 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 Size7b
Required VRAM14 GB
Updated2026-04-18
Maintaineradeebaldkheel
Model Typellama
Instruction-BasedYes
Model Files  7.4 GB   5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.0 GB: 3-of-3
Supported Languagesar en
GGUF QuantizationYes
Quantization Typeq8|gguf
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.49.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Sql Code Gguf16K / 4.8 GB310
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Latxa 7B Instruct4K / 13.5 GB70
...lumiX 32K Instruct Q4 K M GGUF32K / 4.1 GB613
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Note: green Score (e.g. "73.2") means that the model is better than adeebaldkheel/ALLaM-7B-Instruct-preview-reasoning.

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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