Codellama 7B Instruct Slerp by tyson0420

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Codellama 7B Instruct Slerp is an open-source language model by tyson0420. Features: 7b LLM, VRAM: 13.4GB, Context: 16K, License: apache-2.0, Instruction-Based, Code Generating, Merged, LLM Explorer Score: 0.12.

  Merged Model   Codegen   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow   Tyson0420/alpaca codellama Tyson0420/stack-codellama-fil-...

Codellama 7B Instruct Slerp Benchmarks

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 Slerp Parameters and Internals

Model Type 
code generation
Additional Notes 
Model is a blend of two models using mergekit, optimized for code-related tasks.
LLM NameCodellama 7B Instruct Slerp
Repository 🤗https://huggingface.co/tyson0420/codellama-7B-instruct-slerp 
Merged ModelYes
Model Size7b
Required VRAM13.4 GB
Updated2026-05-04
Maintainertyson0420
Model Typellama
Instruction-BasedYes
Model Files  1.9 GB: 1-of-7   1.9 GB: 2-of-7   2.0 GB: 3-of-7   1.9 GB: 4-of-7   1.9 GB: 5-of-7   2.0 GB: 6-of-7   1.8 GB: 7-of-7
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.35.2
Tokenizer ClassCodeLlamaTokenizer
Vocabulary Size32016
Torch Data Typebfloat16

Quantized Models of the Codellama 7B Instruct Slerp

Model
Likes
Downloads
VRAM
CodeLlama 7B Instruct Fp1674413 GB

Best Alternatives to Codellama 7B Instruct Slerp

Best Alternatives
Context / RAM
Downloads
Likes
Deepseek Coder 6.7B Instruct16K / 13.5 GB215811491
CodeLlama 7B Instruct Hf16K / 13.5 GB224984255
GetCode Slerp16K / 13.6 GB1391
Stack Codellama 7B Inst16K / 13.5 GB920
CodeLlama 7B Instruct Hf16K / 13.5 GB279459
CodeV CL 7B16K / 13.5 GB131
Glaive Coder 7B16K / 27 GB101555
...deLlama 7B Instruct Hf 8bits Q16K / 4.2 GB41
Llama 2 7B Chat Finetune516K / 13.8 GB61
...ama 7B Instruct Hf Dequantized16K / 13.5 GB1970
Note: green Score (e.g. "73.2") means that the model is better than tyson0420/codellama-7B-instruct-slerp.

Rank the Codellama 7B Instruct Slerp Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a