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Hmanlab Ai V0.1 by rekabytes

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Hmanlab Ai V0.1 is an open-source language model by rekabytes. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.28.

  Agentic Base model:adapter:qwen/qwen3-...   Base model:qwen/qwen3-4b   Conversational Dataset:angrygiraffe/claude-op... Dataset:lambda/hermes-agent-re...   En   Endpoints compatible   Gguf   Lora   Qlora   Quantized   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Tool-use
Model Card on HF 🤗: https://huggingface.co/rekabytes/hmanlab-ai-v0.1 

Hmanlab Ai V0.1 Benchmarks

LLME Score: 0.28033
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hmanlab Ai V0.1 (rekabytes/hmanlab-ai-v0.1)
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Hmanlab Ai V0.1 Parameters and Internals

LLM NameHmanlab Ai V0.1
Repository 🤗https://huggingface.co/rekabytes/hmanlab-ai-v0.1 
Base Model(s)  Qwen/Qwen3-4B   Qwen/Qwen3-4B
Model Size4b
Required VRAM8.1 GB
Updated2026-05-17
Maintainerrekabytes
Model Typeqwen3
Model Files  2.5 GB   5.0 GB: 1-of-2   3.1 GB: 2-of-2
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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...Instruct 2507 Unsloth Bnb 4bit256K / 3.5 GB9555414
Note: green Score (e.g. "73.2") means that the model is better than rekabytes/hmanlab-ai-v0.1.

Rank the Hmanlab Ai V0.1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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