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Atem V1.1.5B by EphAsad

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Atem V1.1.5B is an open-source language model by EphAsad. Features: 1.5b LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.31.

Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-1.5b-i...   Conversational Dataset:ephasad/mistralmilleni... Dataset:ephasad/phi4millennium... Dataset:ephasad/qwenmillenium-... Dataset:flytech/python-codes-2... Dataset:freedomintelligence/me... Dataset:jackrong/kimi-k2.5-rea... Dataset:modotte/codex-2m-think... Dataset:open-r1/openthoughts-1... Dataset:tuanha1305/deepseek-r1... Dataset:withinusai/minimax m2....   Distillation   En   Endpoints compatible   Gguf   Instruct   Llama.cpp   Lora   Model-index   Quantized   Qwen2   Reasoning   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/EphAsad/Atem-v1-1.5B 

Atem V1.1.5B Benchmarks

LLME Score: 0.31356
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Atem V1.1.5B (EphAsad/Atem-v1-1.5B)
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Atem V1.1.5B Parameters and Internals

LLM NameAtem V1.1.5B
Repository 🤗https://huggingface.co/EphAsad/Atem-v1-1.5B 
Base Model(s)  Qwen/Qwen2.5-1.5B-Instruct   Qwen/Qwen2.5-1.5B-Instruct
Model Size1.5b
Required VRAM1 GB
Updated2026-06-02
MaintainerEphAsad
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB   1.1 GB   1.6 GB   3.1 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Rank the Atem V1.1.5B 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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