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Llamared74b by Ammartatox

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  4bit   Autotrain compatible Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-8b-...   Conversational   En   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Llamared74b Benchmarks

LLME Score: 0.23145
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llamared74b Parameters and Internals

LLM NameLlamared74b
Repository 🤗https://huggingface.co/Daemontatox/llamared74b 
Base Model(s)  Llama 3 8B Instruct Bnb 4bit   unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size8b
Required VRAM5.8 GB
Updated2024-08-11
MaintainerAmmartatox
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typefloat16
Llamared74b (Daemontatox/llamared74b)

Best Alternatives to Llamared74b

Best Alternatives
Context / RAM
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Likes
...B Instruct Gradient 1048K 4bit1024K / 4.5 GB22
...B Instruct Gradient 1048K 8bit1024K / 8.6 GB51
...truct Gradient 1048K Bpw6 EXL21024K / 6.7 GB72
...truct Gradient 1048K Bpw5 EXL21024K / 5.8 GB60
Llama 3 8B Instruct 1048K 4bit1024K / 4.5 GB525
Llama 3 8B Instruct 1048K 8bit1024K / 8.6 GB216
... Gradient 1048K 8.0bpw H8 EXL21024K / 8.6 GB13
...ct Gradient 1048K Bpw2.25 EXL21024K / 3.4 GB01
Llama 3 8B Instruct 262K 2bit256K / 2.5 GB11
...B Instruct 262k V2 EXL2 8.0bpw256K / 8.4 GB60
Note: green Score (e.g. "73.2") means that the model is better than Daemontatox/llamared74b.

Rank the Llamared74b 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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Release v2024072803
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