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Nvidia CodeLlama 7B Instruct Bf16 Sharded by avemio-digital

 »  All LLMs  »  avemio-digital  »  Nvidia CodeLlama 7B Instruct Bf16 Sharded   URL Share it on

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  Autotrain compatible   Codegen   Custom code   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded

Nvidia CodeLlama 7B Instruct Bf16 Sharded Benchmarks

LLME Score: 0.15792
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Nvidia CodeLlama 7B Instruct Bf16 Sharded Parameters and Internals

LLM NameNvidia CodeLlama 7B Instruct Bf16 Sharded
Repository 🤗https://huggingface.co/avemio-digital/Nvidia_CodeLlama-7B-Instruct-bf16-sharded 
Model Size7b
Required VRAM13.5 GB
Updated2024-09-19
Maintaineravemio-digital
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Context Length16384
Model Max Length16384
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32016
Torch Data Typefloat16
Nvidia CodeLlama 7B Instruct Bf16 Sharded (avemio-digital/Nvidia_CodeLlama-7B-Instruct-bf16-sharded)

Quantized Models of the Nvidia CodeLlama 7B Instruct Bf16 Sharded

Model
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VRAM
...Llama 7B Instruct Bf16 Sharded11213 GB

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CodeLLama SFT FILTERED16K / 13.5 GB50
Note: green Score (e.g. "73.2") means that the model is better than avemio-digital/Nvidia_CodeLlama-7B-Instruct-bf16-sharded.

Rank the Nvidia CodeLlama 7B Instruct Bf16 Sharded Capabilities

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Release v2024072803
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