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MergedModelSerbian by LeonKogler

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  4-bit   4bit   Autotrain compatible Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-...   Bitsandbytes   En   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/LeonKogler/MergedModelSerbian 

MergedModelSerbian Benchmarks

LLME Score: 0.19916
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MergedModelSerbian (LeonKogler/MergedModelSerbian)

MergedModelSerbian Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This model was finetuned using the Unsloth approach with Huggingface's TRL library, achieving twice the speed of regular training cycles.
Supported Languages 
en (Proficient)
Training Details 
Model Architecture:
unclear
LLM NameMergedModelSerbian
Repository 🤗https://huggingface.co/LeonKogler/MergedModelSerbian 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Model Size8b
Required VRAM5.8 GB
Updated2025-02-01
MaintainerLeonKogler
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typefloat16

Best Alternatives to MergedModelSerbian

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Context / RAM
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Likes
...B Instruct Gradient 1048K 4bit1024K / 4.5 GB312
...B Instruct Gradient 1048K 8bit1024K / 8.6 GB141
...truct Gradient 1048K Bpw6 EXL21024K / 6.7 GB62
...truct Gradient 1048K Bpw5 EXL21024K / 5.8 GB50
Llama 3 8B Instruct 1048K 4bit1024K / 4.5 GB825
Llama 3 8B Instruct 1048K 8bit1024K / 8.6 GB2117
... Gradient 1048K 8.0bpw H8 EXL21024K / 8.6 GB53
...ct Gradient 1048K Bpw2.25 EXL21024K / 3.4 GB51
Llama 3 8B Instruct 262K 2bit256K / 2.5 GB61
...B Instruct 262k V2 EXL2 5.0bpw256K / 5.8 GB51
Note: green Score (e.g. "73.2") means that the model is better than LeonKogler/MergedModelSerbian.

Rank the MergedModelSerbian 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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