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CodeLlama 7B Instruct Bf16 Sharded by TinyPixel

 »  All LLMs  »  TinyPixel  »  CodeLlama 7B Instruct Bf16 Sharded   URL Share it on

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  Autotrain compatible   Codegen   Custom code   Endpoints compatible   Fp16   Instruct   Llama   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/TinyPixel/CodeLlama-7B-Instruct-bf16-sharded 

CodeLlama 7B Instruct Bf16 Sharded Benchmarks

LLME Score: 0.13256
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 (TinyPixel/CodeLlama-7B-Instruct-bf16-sharded)

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
Updated2024-12-22
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

Best Alternatives to CodeLlama 7B Instruct Bf16 Sharded

Best Alternatives
Context / RAM
Downloads
Likes
...ruct Solidity Bnb 4bit Smashed16K / 4.2 GB140
...B Instruct Hf Bnb 4bit Smashed16K / 4.2 GB210
CodelLama7B Inst DPO 7K Mlx16K / 4.2 GB82
...eLlama 7B Instruct Hf 4bit MLX16K / 4.2 GB121
...6.7B Instruct 8.0bpw H8 EXL2 216K / 6.8 GB92
...6.7B Instruct 3.0bpw H6 EXL2 216K / 2.8 GB91
... 7B Instruct Nf4 Fp16 Upscaled16K / 13.5 GB150
CodeLlama 7B Instruct Fp1616K / 13.5 GB338
...B Instruct V1.5 6.0bpw H6 EXL24K / 5.7 GB72
...B Instruct V1.5 8.0bpw H8 EXL24K / 7.3 GB111
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  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v20241217
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