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Llama 3 8B Instruct Matter 0.1 Slim A by munish0838

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

Llama 3 8B Instruct Matter 0.1 Slim A Benchmarks

LLME Score: 0.21478
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3 8B Instruct Matter 0.1 Slim A Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (proficient)
Training Details 
Methodology:
Finetuned
LLM NameLlama 3 8B Instruct Matter 0.1 Slim A
Repository 🤗https://huggingface.co/munish0838/llama-3-8b-Instruct-Matter-0.1-Slim-A 
Base Model(s)  Llama 3 8B Instruct Bnb 4bit   unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2024-11-21
Maintainermunish0838
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   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 Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typefloat16
Llama 3 8B Instruct Matter 0.1 Slim A (munish0838/llama-3-8b-Instruct-Matter-0.1-Slim-A)

Best Alternatives to Llama 3 8B Instruct Matter 0.1 Slim A

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Context / RAM
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...B Instruct Gradient 1048K 8bit1024K / 8.6 GB121
...B Instruct Gradient 1048K 4bit1024K / 4.5 GB62
...truct Gradient 1048K Bpw6 EXL21024K / 6.7 GB102
...truct Gradient 1048K Bpw5 EXL21024K / 5.8 GB50
Llama 3 8B Instruct 1048K 4bit1024K / 4.5 GB925
Llama 3 8B Instruct 1048K 8bit1024K / 8.6 GB1316
... Gradient 1048K 8.0bpw H8 EXL21024K / 8.6 GB53
...ct Gradient 1048K Bpw2.25 EXL21024K / 3.4 GB71
...B Instruct 262k V2 EXL2 6.0bpw256K / 6.7 GB991
Llama 3 8B Instruct 262K 2bit256K / 2.5 GB101
Note: green Score (e.g. "73.2") means that the model is better than munish0838/llama-3-8b-Instruct-Matter-0.1-Slim-A.

Rank the Llama 3 8B Instruct Matter 0.1 Slim A 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 v20241110
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