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CodeLlama 7B Instruct Bf16 Sharded by TinyPixel

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  Autotrain compatible   Codegen   Custom code   Endpoints compatible   Fp16   Instruct   Llama   Pytorch   Quantized   Region:us   Sharded

CodeLlama 7B Instruct Bf16 Sharded Benchmarks

LLME Score: 0.14631
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

CodeLlama 7B Instruct Bf16 Sharded Parameters and Internals

LLM NameCodeLlama 7B Instruct Bf16 Sharded
Repository 🤗https://huggingface.co/TinyPixel/CodeLlama-7B-Instruct-bf16-sharded 
Base Model(s)  ...Llama 7B Instruct Bf16 Sharded   avemio-digital/Nvidia_CodeLlama-7B-Instruct-bf16-sharded
Model Size7b
Required VRAM13.5 GB
Updated2024-09-16
MaintainerTinyPixel
Model Typellama
Instruction-BasedYes
Model Files  2.0 GB: 1-of-7   2.0 GB: 2-of-7   2.0 GB: 3-of-7   2.0 GB: 4-of-7   1.9 GB: 5-of-7   1.9 GB: 6-of-7   1.7 GB: 7-of-7
Quantization Typefp16
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Context Length16384
Model Max Length16384
Transformers Version4.30.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32016
Torch Data Typebfloat16
CodeLlama 7B Instruct Bf16 Sharded (TinyPixel/CodeLlama-7B-Instruct-bf16-sharded)

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...eLlama 7B Instruct Hf 4bit MLX16K / 4.2 GB21
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Note: green Score (e.g. "73.2") means that the model is better than TinyPixel/CodeLlama-7B-Instruct-bf16-sharded.

Rank the CodeLlama 7B Instruct Bf16 Sharded Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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