Bachinstruct Codellama7b by TristanBehrens

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Base model:adapter:codellama/c... Base model:codellama/codellama...   Codegen   Endpoints compatible   Generated from trainer   Gguf   Llama   Peft   Pytorch   Quantized   Region:us   Sharded

Bachinstruct Codellama7b Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bachinstruct Codellama7b (TristanBehrens/bachinstruct-codellama7b)

Bachinstruct Codellama7b Parameters and Internals

Model Type 
LlamaForCausalLM
Training Details 
Data Sources:
TristanBehrens/bachinstruct
Context Length:
4096
Hardware Used:
multi-GPU (2 devices)
LLM NameBachinstruct Codellama7b
Repository ๐Ÿค—https://huggingface.co/TristanBehrens/bachinstruct-codellama7b 
Base Model(s)  CodeLlama 7B Hf   codellama/CodeLlama-7b-hf
Model Size7b
Required VRAM13.5 GB
Updated2024-12-22
MaintainerTristanBehrens
Model Typellama
Model Files  2.5 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.2 GB   4.1 GB   3.9 GB   4.7 GB   5.1 GB   4.8 GB   4.7 GB   5.5 GB   7.2 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
GGUF QuantizationYes
Quantization Typegguf
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.39.0.dev0
Tokenizer ClassCodeLlamaTokenizer
Padding Token</s>
Vocabulary Size32016
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TristanBehrens/bachinstruct-codellama7b.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217