Unaligned Llama3 8B V0.1 16bit by intone

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  16bit   Autotrain compatible   Conversational   En   Endpoints compatible   Llama   Pytorch   Quantized   Region:us   Sharded   Trl

Unaligned Llama3 8B V0.1 16bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Unaligned Llama3 8B V0.1 16bit (intone/unaligned-llama3-8b-v0.1-16bit)

Unaligned Llama3 8B V0.1 16bit Parameters and Internals

Model Type 
text generation
Additional Notes 
Horrific model. Not DPOd, just SFT trained.
Training Details 
Methodology:
SFT (Supervised Fine-Tuning)
LLM NameUnaligned Llama3 8B V0.1 16bit
Repository ๐Ÿค—https://huggingface.co/intone/unaligned-llama3-8b-v0.1-16bit 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainerintone
Model Typellama
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
Supported Languagesen
Quantization Type16bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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...B Instruct Gradient 1048K 4bit1024K / 4.5 GB212
...B Instruct Gradient 1048K 8bit1024K / 8.6 GB71
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Llama 3 8B Instruct 1048K 8bit1024K / 8.6 GB2817
... Gradient 1048K 8.0bpw H8 EXL21024K / 8.6 GB83
...ct Gradient 1048K Bpw2.25 EXL21024K / 3.4 GB51
Llama 3 8B Instruct 262K 2bit256K / 2.5 GB71
...B Instruct 262k V2 EXL2 6.0bpw256K / 6.7 GB111
Note: green Score (e.g. "73.2") means that the model is better than intone/unaligned-llama3-8b-v0.1-16bit.

Rank the Unaligned Llama3 8B V0.1 16bit Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227