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Llama 3 Cat 8B Instruct V1 Bpw3.5 EXL2 by blockblockblock

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  Autotrain compatible   Conversational   Endpoints compatible   Exl2   Instruct   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/blockblockblock/llama-3-cat-8b-instruct-v1-bpw3.5-exl2 

Llama 3 Cat 8B Instruct V1 Bpw3.5 EXL2 Benchmarks

LLME Score: 0.18492
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Cat 8B Instruct V1 Bpw3.5 EXL2 (blockblockblock/llama-3-cat-8b-instruct-v1-bpw3.5-exl2)

Llama 3 Cat 8B Instruct V1 Bpw3.5 EXL2 Parameters and Internals

Model Type 
text generation
Use Cases 
Primary Use Cases:
System Instruction fidelity, Chain of Thought (COT), Character immersion, Helpfulness for biosciences and general science
Additional Notes 
The model spits out < /s> at the end of sequences due to a tokenizer/model error in the training config. Will be fixed in a later version.
Training Details 
Data Sources:
Huggingface, Chat Doctor
Methodology:
Finetuned for system prompt fidelity, helpfulness, and character engagement using high-quality instruction-response pair datasets.
Training Time:
6 days
Hardware Used:
1 A100 GPU
Input Output 
Input Format:
Prompt format: llama 3 or vicuna 1.1
LLM NameLlama 3 Cat 8B Instruct V1 Bpw3.5 EXL2
Repository 🤗https://huggingface.co/blockblockblock/llama-3-cat-8b-instruct-v1-bpw3.5-exl2 
Model Size8b
Required VRAM4.5 GB
Updated2025-02-17
Maintainerblockblockblock
Model Typellama
Instruction-BasedYes
Model Files  4.5 GB
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Llama 3 8B Instruct 1048K 8bit1024K / 8.6 GB2817
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Llama 3 8B Instruct 262K 2bit256K / 2.5 GB71
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Note: green Score (e.g. "73.2") means that the model is better than blockblockblock/llama-3-cat-8b-instruct-v1-bpw3.5-exl2.

Rank the Llama 3 Cat 8B Instruct V1 Bpw3.5 EXL2 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 v20241227
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