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Speechless Llama2 13B by uukuguy

 »  All LLMs  »  uukuguy  »  Speechless Llama2 13B   URL Share it on

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  Arxiv:2307.09288   Autotrain compatible Dataset:garage-baind/open-plat...   Dataset:open-orca/openorca Dataset:wizardlm/wizardlm evol...   En   Facebook   Instruct   Llama   Llama2   Meta   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/uukuguy/speechless-llama2-13b 

Speechless Llama2 13B Benchmarks

ARC: 62.03 vs 96.7 (so35)-35.9%
HellaSwag: 81.82 vs 95.3 (gpt4)-14.1%
MMLU: 58.69 vs 88.3 (so35)-33.5%
TruthfulQA: 55.66 vs 59 (gpt4)-5.7%
WinoGrande: 76.01 vs 87.5 (gpt4)-13.1%
GSM8K: 33.97 vs 96.4 (so35)-64.8%
LLME Score: 0.17151
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Speechless Llama2 13B (uukuguy/speechless-llama2-13b)

Speechless Llama2 13B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Research, Commercial applications
Primary Use Cases:
Assistant-like chat, Natural language generation tasks
Limitations:
Use in languages other than English, Use violating laws or regulations, Use prohibited by Acceptable Use Policy
Considerations:
Safety testing tailored to specific applications is required.
Additional Notes 
Models are trained with a global batch-size equivalent to 4M tokens and do not include Meta user data.
Supported Languages 
en (Fully supported)
Training Details 
Data Sources:
Open-Orca/OpenOrca-Platypus2-13B, WizardLM/WizardLM-13B-V1.2, Publicly available online data
Data Volume:
2 trillion tokens
Methodology:
Supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF)
Context Length:
4000
Hardware Used:
Meta's Research Super Cluster, Third-party cloud compute
Model Architecture:
Auto-regressive language model with optimized transformer architecture
Safety Evaluation 
Methodologies:
Internal evaluations, Safety benchmarks
Findings:
May produce inaccurate or biased responses, Potential outputs cannot be predicted in advance
Risk Categories:
Misinformation, Bias
Ethical Considerations:
Responsible Use Guide available
Responsible Ai Considerations 
Fairness:
Testing has been conducted primarily in English.
Transparency:
Limited transparency as outputs cannot be predicted.
Accountability:
Meta is accountable for model development.
Mitigation Strategies:
Safety testing and tuning guidelines provided in Responsible Use Guide.
Input Output 
Input Format:
Alpaca instruction format
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Use of specific formatting like `INST`, `<>`, `BOS`, `EOS` tokens, and attention to whitespace.
Release Notes 
Version:
v1.1
Notes:
A merge of Open-Orca/OpenOrca-Platypus2-13B and WizardLM/WizardLM-13B-V1.2.
LLM NameSpeechless Llama2 13B
Repository 🤗https://huggingface.co/uukuguy/speechless-llama2-13b 
Model Size13b
Required VRAM26.7 GB
Updated2024-12-14
Maintaineruukuguy
Model Typellama
Instruction-BasedYes
Model Files  10.3 GB: 1-of-3   9.9 GB: 2-of-3   6.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.32.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Speechless Llama2 13B

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Speechless Llama2 13B GGUF37105 GB
Speechless Llama2 13B AWQ1277 GB
Speechless Llama2 13B GPTQ2277 GB
Speechless Llama2 13B GGML2255 GB

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Note: green Score (e.g. "73.2") means that the model is better than uukuguy/speechless-llama2-13b.

Rank the Speechless Llama2 13B 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 v20241124
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