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Cisco INAM 1.1B by ndavidson

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Cisco INAM 1.1B is an open-source language model by ndavidson. Features: 1.1b LLM, VRAM: 0.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.16, Arc: 36, HellaSwag: 60.7, MMLU: 26.4, GSM8K: 1.4.

  4bit Base model:quantized:unsloth/t... Base model:unsloth/tinyllama-b...   Conversational   En   Endpoints compatible   Gguf   Llama   Lora   Quantized   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/ndavidson/cisco-iNAM-1.1B 

Cisco INAM 1.1B Benchmarks

ARC: 36.01 vs 96.7 (so35)-62.8%
HellaSwag: 60.74 vs 95.3 (gpt4)-36.3%
MMLU: 26.39 vs 88.3 (so35)-70.1%
GSM8K: 1.44 vs 96.4 (so35)-98.5%
LLME Score: 0.16304
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cisco INAM 1.1B (ndavidson/cisco-iNAM-1.1B)
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Cisco INAM 1.1B Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, trl
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Training Details 
Methodology:
Unsloth and Huggingface's TRL library
LLM NameCisco INAM 1.1B
Repository 🤗https://huggingface.co/ndavidson/cisco-iNAM-1.1B 
Base Model(s)  Tinyllama Bnb 4bit   unsloth/tinyllama-bnb-4bit
Model Size1.1b
Required VRAM0.1 GB
Updated2026-05-12
Maintainerndavidson
Model Files  0.1 GB   0.7 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureAutoModel
Licenseapache-2.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|up_proj|gate_proj|down_proj|v_proj|o_proj|q_proj
LoRA Alpha32
LoRA Dropout0
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than ndavidson/cisco-iNAM-1.1B.

Rank the Cisco INAM 1.1B 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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