Llama 3 Instruct Bellman 8B Swedish by neph1

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Llama 3 Instruct Bellman 8B Swedish Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Instruct Bellman 8B Swedish (neph1/llama-3-instruct-bellman-8b-swedish)

Llama 3 Instruct Bellman 8B Swedish Parameters and Internals

Model Type 
Instruct
Additional Notes 
Previously struggled with generating stories but has improved.
Supported Languages 
Swedish (Proficient)
Training Details 
Data Sources:
Swedish Wikipedia, neph1/bellman-7b-finetune, neph1/codefeedback-swedish
Methodology:
Prompt Question Answering Finetuning
LLM NameLlama 3 Instruct Bellman 8B Swedish
Repository ๐Ÿค—https://huggingface.co/neph1/llama-3-instruct-bellman-8b-swedish 
Model Size8b
Required VRAM0 GB
Updated2024-12-22
Maintainerneph1
Instruction-BasedYes
Model Files  0.7 GB   0.3 GB   0.0 GB   0.0 GB
Supported Languagessv
Model ArchitectureAutoModelForCausalLM
Licensellama3
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|q_proj|up_proj|down_proj|k_proj|o_proj|gate_proj
LoRA Alpha128
LoRA Dropout0.1
R Param64

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Note: green Score (e.g. "73.2") means that the model is better than neph1/llama-3-instruct-bellman-8b-swedish.

Rank the Llama 3 Instruct Bellman 8B Swedish 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217