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Codellama 70B Instruct Nf4 Fp16 Upscaled by arnavgrg

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Codellama 70B Instruct Nf4 Fp16 Upscaled Benchmarks

LLME Score: 0.19511
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Codellama 70B Instruct Nf4 Fp16 Upscaled Parameters and Internals

LLM NameCodellama 70B Instruct Nf4 Fp16 Upscaled
Repository 🤗https://huggingface.co/arnavgrg/codellama-70b-instruct-nf4-fp16-upscaled 
Model Size70b
Required VRAM138.7 GB
Updated2024-10-18
Maintainerarnavgrg
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-29   4.7 GB: 2-of-29   5.0 GB: 3-of-29   5.0 GB: 4-of-29   4.7 GB: 5-of-29   4.7 GB: 6-of-29   4.7 GB: 7-of-29   5.0 GB: 8-of-29   5.0 GB: 9-of-29   4.7 GB: 10-of-29   4.7 GB: 11-of-29   4.7 GB: 12-of-29   5.0 GB: 13-of-29   5.0 GB: 14-of-29   4.7 GB: 15-of-29   4.7 GB: 16-of-29   4.7 GB: 17-of-29   5.0 GB: 18-of-29   5.0 GB: 19-of-29   4.7 GB: 20-of-29   4.7 GB: 21-of-29   4.7 GB: 22-of-29   5.0 GB: 23-of-29   5.0 GB: 24-of-29   4.7 GB: 25-of-29   4.7 GB: 26-of-29   4.7 GB: 27-of-29   5.0 GB: 28-of-29   3.8 GB: 29-of-29
Quantization Typefp16
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.37.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32016
Torch Data Typefloat16
Codellama 70B Instruct Nf4 Fp16 Upscaled (arnavgrg/codellama-70b-instruct-nf4-fp16-upscaled)

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Note: green Score (e.g. "73.2") means that the model is better than arnavgrg/codellama-70b-instruct-nf4-fp16-upscaled.

Rank the Codellama 70B Instruct Nf4 Fp16 Upscaled Capabilities

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Release v2024072803
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