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Survey Xml Base Knowledge 0.0.1 Merged 16bit by ansilmbabl

 »  All LLMs  »  ansilmbabl  »  Survey Xml Base Knowledge 0.0.1 Merged 16bit   URL Share it on

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Model Card on HF 🤗: https://huggingface.co/ansilmbabl/survey-xml-base-knowledge-0.0.1-merged_16bit 

Survey Xml Base Knowledge 0.0.1 Merged 16bit Benchmarks

LLME Score: 0.22825
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Survey Xml Base Knowledge 0.0.1 Merged 16bit (ansilmbabl/survey-xml-base-knowledge-0.0.1-merged_16bit)

Survey Xml Base Knowledge 0.0.1 Merged 16bit Parameters and Internals

LLM NameSurvey Xml Base Knowledge 0.0.1 Merged 16bit
Repository 🤗https://huggingface.co/ansilmbabl/survey-xml-base-knowledge-0.0.1-merged_16bit 
Base Model(s)  unsloth/llama-3.2-3b-instruct-bnb-4bit   unsloth/llama-3.2-3b-instruct-bnb-4bit
Merged ModelYes
Model Size3b
Required VRAM6.5 GB
Updated2025-05-13
Maintaineransilmbabl
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.47.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

Quantized Models of the Survey Xml Base Knowledge 0.0.1 Merged 16bit

Model
Likes
Downloads
VRAM
...uvery Train 0.0.2 Merged 16bit056 GB

Best Alternatives to Survey Xml Base Knowledge 0.0.1 Merged 16bit

Best Alternatives
Context / RAM
Downloads
Likes
...2 3B Instruct Unsloth Bnb 4bit128K / 2.4 GB14802310
Llama32 3B En Emo 2000 Stp128K / 2.2 GB290
Llama32 3B En Emo 300 Stp128K / 2.2 GB90
Llama32 3B En Emo 1000 Stp128K / 2.2 GB70
Llama32 3B En Emo 5000 Stp128K / 2.2 GB50
...ngCore 3B Instruct R01 Reflect128K / 6.5 GB01
ReasoningCore 3B 0128K / 6.5 GB182
....1 Pretrained Unsloth Bnb 4bit128K / 2.5 GB22933
Llama 3.2 3B Unsloth Bnb 4bit128K / 2.4 GB148391
Security Llama3.2 3B128K / 6.5 GB230
Note: green Score (e.g. "73.2") means that the model is better than ansilmbabl/survey-xml-base-knowledge-0.0.1-merged_16bit.

Rank the Survey Xml Base Knowledge 0.0.1 Merged 16bit 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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