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MegaBeam Mistral 7B 300K by amazon

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  Autotrain compatible   Conversational   Mistral   Region:us   Safetensors   Sharded   Tensorflow

MegaBeam Mistral 7B 300K Benchmarks

MMLU Pro: 17.21
GPQA: 3.13
MUSR: 8.35
BBH: 19.29
IFEval: 52.03 vs 88 (so35)-40.9%
MATH Lvl 5: 2.11
LLME Score: 0.27441
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MegaBeam Mistral 7B 300K Parameters and Internals

LLM NameMegaBeam Mistral 7B 300K
Repository 🤗https://huggingface.co/amazon/MegaBeam-Mistral-7B-300k 
Model Size7b
Required VRAM14.4 GB
Updated2024-10-07
Maintaineramazon
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length288800
Model Max Length288800
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
MegaBeam Mistral 7B 300K (amazon/MegaBeam-Mistral-7B-300k)

Quantized Models of the MegaBeam Mistral 7B 300K

Model
Likes
Downloads
VRAM
MegaBeam Mistral 7B 300K Gguf3205 GB

Best Alternatives to MegaBeam Mistral 7B 300K

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB12276
MegaBeam Mistral 7B 512K512K / 14.4 GB37741
...daz Web AI ChatML 512K Project512K / 14.5 GB120
Hebrew Mistral 7B 200K256K / 30 GB253615
Astral 256K 7B V2250K / 14.4 GB100
Astral 256K 7B250K / 14.4 GB90
Boptruth Agatha 7B128K / 14.4 GB430
Buddhi 128K Chat 7B128K / 14.4 GB55015
Test001128K / 14.5 GB50
Test002128K / 29 GB160
Note: green Score (e.g. "73.2") means that the model is better than amazon/MegaBeam-Mistral-7B-300k.

Rank the MegaBeam Mistral 7B 300K Capabilities

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Release v2024072803
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