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Zephyr 7B Beta Nf4 Fp16 Upscaled by arnavgrg

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Zephyr 7B Beta Nf4 Fp16 Upscaled Benchmarks

LLME Score: 0.19024
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Zephyr 7B Beta Nf4 Fp16 Upscaled Parameters and Internals

LLM NameZephyr 7B Beta Nf4 Fp16 Upscaled
Repository 🤗https://huggingface.co/arnavgrg/zephyr-7b-beta-nf4-fp16-upscaled 
Model Size7b
Required VRAM14.4 GB
Updated2024-09-07
Maintainerarnavgrg
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Quantization Typefp16
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
Zephyr 7B Beta Nf4 Fp16 Upscaled (arnavgrg/zephyr-7b-beta-nf4-fp16-upscaled)

Quantized Models of the Zephyr 7B Beta Nf4 Fp16 Upscaled

Model
Likes
Downloads
VRAM
...7B Beta Nf4 Fp16 Upscaled GGUF01412 GB

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...al Nemo Instruct 2407 Bnb 4bit1000K / 8.3 GB5035821
...istral Nemo Base 2407 Bnb 4bit1000K / 8.3 GB118597
...t 3.5 0106 128K 4.0bpw H6 EXL2128K / 3.9 GB291
...t 3.5 0106 128K 8.0bpw H8 EXL2128K / 7.4 GB91
Mistral 7B Instruct V0.2 4bit32K / 4.3 GB5761
Mistral 7B Instruct V0.2 Fp1632K / 14.4 GB50
...tral 7B Instruct V0.3 Bnb 4bit32K / 4.1 GB5964514
Mistral 7B V0.3 Bnb 4bit32K / 4.1 GB2477912
Mistral V0.3 7B ORPO32K / 14.5 GB971
Mistral 7B Instruct V0.2 8bit32K / 7.6 GB381
Note: green Score (e.g. "73.2") means that the model is better than arnavgrg/zephyr-7b-beta-nf4-fp16-upscaled.

Rank the Zephyr 7B Beta Nf4 Fp16 Upscaled Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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