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Fireball Llama 3.11 8B V1orpo by EpistemeAI

 »  All LLMs  »  EpistemeAI  »  Fireball Llama 3.11 8B V1orpo   URL Share it on

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  4bit   Autotrain compatible Base model:finetune:unsloth/me... Base model:unsloth/meta-llama-...   Conversational   En   Endpoints compatible   Instruct   Llama   Pytorch   Quantized   Region:us   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/EpistemeAI/Fireball-Llama-3.11-8B-v1orpo 

Fireball Llama 3.11 8B V1orpo Benchmarks

LLME Score: 0.21022
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fireball Llama 3.11 8B V1orpo (EpistemeAI/Fireball-Llama-3.11-8B-v1orpo)

Fireball Llama 3.11 8B V1orpo Parameters and Internals

Model Type 
text-generation-inference, transformers
Use Cases 
Areas:
research, commercial applications
Considerations:
Developers should deploy system safeguards when building agentic systems.
Additional Notes 
Llama 3.1 addresses users and their needs as they are, without insertion unnecessary judgment or normativity.
Supported Languages 
languages_supported (en), additional_languages (French, German, Hindi, Italian, Portuguese, Spanish, Thai)
Safety Evaluation 
Methodologies:
Red teaming
Risk Categories:
CBRNE (Chemical, Biological, Radiological, Nuclear, and Explosive materials) helpfulness, Child Safety, Cyber attack enablement
Ethical Considerations:
The core values of Llama 3.1 are openness, inclusivity and helpfulness. It respects the dignity and autonomy of all users.
Responsible Ai Considerations 
Mitigation Strategies:
Enable developers to deploy helpful, safe and flexible experiences. Protect developers against adversarial users.
LLM NameFireball Llama 3.11 8B V1orpo
Repository 🤗https://huggingface.co/EpistemeAI/Fireball-Llama-3.11-8B-v1orpo 
Base Model(s)  unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit   unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2025-01-25
MaintainerEpistemeAI
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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...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

Rank the Fireball Llama 3.11 8B V1orpo 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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Release v20241227
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