badger-kappa-llama-3-8b
1
2
llama
by
maldv
Language Model
OTHER
8B params
New
1 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
18GB+ RAM
Mobile
Laptop
Server
Quick Summary
Badger is a recursive maximally pairwise disjoint normalized fourier interpolation of the following models: In other words, all of these models get warped and...
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
8GB+ RAM
Training Data Analysis
🟡 Average (4.8/10)
Researched training datasets used by badger-kappa-llama-3-8b with quality assessment
Specialized For
general
science
multilingual
reasoning
Training Datasets (4)
common crawl
🔴 2.5/10
general
science
Key Strengths
- •Scale and Accessibility: At 9.5+ petabytes, Common Crawl provides unprecedented scale for training d...
- •Diversity: The dataset captures billions of web pages across multiple domains and content types, ena...
- •Comprehensive Coverage: Despite limitations, Common Crawl attempts to represent the broader web acro...
Considerations
- •Biased Coverage: The crawling process prioritizes frequently linked domains, making content from dig...
- •Large-Scale Problematic Content: Contains significant amounts of hate speech, pornography, violent c...
c4
🔵 6/10
general
multilingual
Key Strengths
- •Scale and Accessibility: 750GB of publicly available, filtered text
- •Systematic Filtering: Documented heuristics enable reproducibility
- •Language Diversity: Despite English-only, captures diverse writing styles
Considerations
- •English-Only: Limits multilingual applications
- •Filtering Limitations: Offensive content and low-quality text remain despite filtering
wikipedia
🟡 5/10
science
multilingual
Key Strengths
- •High-Quality Content: Wikipedia articles are subject to community review, fact-checking, and citatio...
- •Multilingual Coverage: Available in 300+ languages, enabling training of models that understand and ...
- •Structured Knowledge: Articles follow consistent formatting with clear sections, allowing models to ...
Considerations
- •Language Inequality: Low-resource language editions have significantly lower quality, fewer articles...
- •Biased Coverage: Reflects biases in contributor demographics; topics related to Western culture and ...
arxiv
🟡 5.5/10
science
reasoning
Key Strengths
- •Scientific Authority: Peer-reviewed content from established repository
- •Domain-Specific: Specialized vocabulary and concepts
- •Mathematical Content: Includes complex equations and notation
Considerations
- •Specialized: Primarily technical and mathematical content
- •English-Heavy: Predominantly English-language papers
Explore our comprehensive training dataset analysis
View All DatasetsCode Examples
Badger κ Llama 3 8B Instruct "Abliterated"python
# Badger Kappa
models = [
'SOVL_Llama3_8B',
'SFR-Iterative-DPO-LLaMA-3-8B-R',
'openchat-3.6-8b-20240522',
'hyperdrive-l3-8b-s3',
'NeuralLLaMa-3-8b-ORPO-v0.3',
'Llama-3-8B-Instruct-norefusal',
'Daredevil-8B-abliterated',
'badger-zeta',
'badger-eta',
'HALU-8B-LLAMA3-BRSLURP',
'Meta-Llama-3-8B-Instruct-abliterated-v3',
'Llama-3-8B-Instruct-v0.9',
'badger-iota-llama-3-8b',
'Llama-3-8B-Instruct-Gradient-4194k',
'badger-l3-instruct-32k',
'LLaMAntino-3-ANITA-8B-Inst-DPO-ITA'
]Badger κ Llama 3 8B Instruct "Abliterated"python
# Badger Kappa
models = [
'SOVL_Llama3_8B',
'SFR-Iterative-DPO-LLaMA-3-8B-R',
'openchat-3.6-8b-20240522',
'hyperdrive-l3-8b-s3',
'NeuralLLaMa-3-8b-ORPO-v0.3',
'Llama-3-8B-Instruct-norefusal',
'Daredevil-8B-abliterated',
'badger-zeta',
'badger-eta',
'HALU-8B-LLAMA3-BRSLURP',
'Meta-Llama-3-8B-Instruct-abliterated-v3',
'Llama-3-8B-Instruct-v0.9',
'badger-iota-llama-3-8b',
'Llama-3-8B-Instruct-Gradient-4194k',
'badger-l3-instruct-32k',
'LLaMAntino-3-ANITA-8B-Inst-DPO-ITA'
]Badger κ Llama 3 8B Instruct "Abliterated"python
# Badger Kappa
models = [
'SOVL_Llama3_8B',
'SFR-Iterative-DPO-LLaMA-3-8B-R',
'openchat-3.6-8b-20240522',
'hyperdrive-l3-8b-s3',
'NeuralLLaMa-3-8b-ORPO-v0.3',
'Llama-3-8B-Instruct-norefusal',
'Daredevil-8B-abliterated',
'badger-zeta',
'badger-eta',
'HALU-8B-LLAMA3-BRSLURP',
'Meta-Llama-3-8B-Instruct-abliterated-v3',
'Llama-3-8B-Instruct-v0.9',
'badger-iota-llama-3-8b',
'Llama-3-8B-Instruct-Gradient-4194k',
'badger-l3-instruct-32k',
'LLaMAntino-3-ANITA-8B-Inst-DPO-ITA'
]Badger κ Llama 3 8B Instruct "Abliterated"python
# Badger Kappa
models = [
'SOVL_Llama3_8B',
'SFR-Iterative-DPO-LLaMA-3-8B-R',
'openchat-3.6-8b-20240522',
'hyperdrive-l3-8b-s3',
'NeuralLLaMa-3-8b-ORPO-v0.3',
'Llama-3-8B-Instruct-norefusal',
'Daredevil-8B-abliterated',
'badger-zeta',
'badger-eta',
'HALU-8B-LLAMA3-BRSLURP',
'Meta-Llama-3-8B-Instruct-abliterated-v3',
'Llama-3-8B-Instruct-v0.9',
'badger-iota-llama-3-8b',
'Llama-3-8B-Instruct-Gradient-4194k',
'badger-l3-instruct-32k',
'LLaMAntino-3-ANITA-8B-Inst-DPO-ITA'
]Badger κ Llama 3 8B Instruct "Abliterated"python
# Badger Kappa
models = [
'SOVL_Llama3_8B',
'SFR-Iterative-DPO-LLaMA-3-8B-R',
'openchat-3.6-8b-20240522',
'hyperdrive-l3-8b-s3',
'NeuralLLaMa-3-8b-ORPO-v0.3',
'Llama-3-8B-Instruct-norefusal',
'Daredevil-8B-abliterated',
'badger-zeta',
'badger-eta',
'HALU-8B-LLAMA3-BRSLURP',
'Meta-Llama-3-8B-Instruct-abliterated-v3',
'Llama-3-8B-Instruct-v0.9',
'badger-iota-llama-3-8b',
'Llama-3-8B-Instruct-Gradient-4194k',
'badger-l3-instruct-32k',
'LLaMAntino-3-ANITA-8B-Inst-DPO-ITA'
]Badger κ Llama 3 8B Instruct "Abliterated"python
# Badger Kappa
models = [
'SOVL_Llama3_8B',
'SFR-Iterative-DPO-LLaMA-3-8B-R',
'openchat-3.6-8b-20240522',
'hyperdrive-l3-8b-s3',
'NeuralLLaMa-3-8b-ORPO-v0.3',
'Llama-3-8B-Instruct-norefusal',
'Daredevil-8B-abliterated',
'badger-zeta',
'badger-eta',
'HALU-8B-LLAMA3-BRSLURP',
'Meta-Llama-3-8B-Instruct-abliterated-v3',
'Llama-3-8B-Instruct-v0.9',
'badger-iota-llama-3-8b',
'Llama-3-8B-Instruct-Gradient-4194k',
'badger-l3-instruct-32k',
'LLaMAntino-3-ANITA-8B-Inst-DPO-ITA'
]Badger κ Llama 3 8B Instruct "Abliterated"python
# Badger Kappa
models = [
'SOVL_Llama3_8B',
'SFR-Iterative-DPO-LLaMA-3-8B-R',
'openchat-3.6-8b-20240522',
'hyperdrive-l3-8b-s3',
'NeuralLLaMa-3-8b-ORPO-v0.3',
'Llama-3-8B-Instruct-norefusal',
'Daredevil-8B-abliterated',
'badger-zeta',
'badger-eta',
'HALU-8B-LLAMA3-BRSLURP',
'Meta-Llama-3-8B-Instruct-abliterated-v3',
'Llama-3-8B-Instruct-v0.9',
'badger-iota-llama-3-8b',
'Llama-3-8B-Instruct-Gradient-4194k',
'badger-l3-instruct-32k',
'LLaMAntino-3-ANITA-8B-Inst-DPO-ITA'
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