Merge Code Gen by akiray1

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:deepseek-ai/deepsee... Base model:m-a-p/opencodeinter...   Codegen   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

Merge Code Gen Benchmarks

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

Merge Code Gen Parameters and Internals

LLM NameMerge Code Gen
Repository 🤗https://huggingface.co/akiray1/merge_code_gen 
Base Model(s)  deepseek-ai/deepseek-coder-6.7b-instruct   m-a-p/OpenCodeInterpreter-DS-6.7B   deepseek-ai/deepseek-coder-6.7b-instruct   m-a-p/OpenCodeInterpreter-DS-6.7B
Merged ModelYes
Model Size6.7b
Required VRAM13.6 GB
Updated2024-09-01
Maintainerakiray1
Model Typellama
Instruction-BasedYes
Model Files  0.9 GB: 1-of-14   1.0 GB: 2-of-14   1.0 GB: 3-of-14   1.0 GB: 4-of-14   1.0 GB: 5-of-14   0.9 GB: 6-of-14   1.0 GB: 7-of-14   1.0 GB: 8-of-14   1.0 GB: 9-of-14   1.0 GB: 10-of-14   0.9 GB: 11-of-14   1.0 GB: 12-of-14   1.0 GB: 13-of-14   0.9 GB: 14-of-14
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Context Length16384
Model Max Length16384
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<|end▁of▁sentence|>
Vocabulary Size32256
Torch Data Typefloat16
Merge Code Gen (akiray1/merge_code_gen)

Best Alternatives to Merge Code Gen

Best Alternatives
Context / RAM
Downloads
Likes
Speechless Coder Ds 6.7B16K / 13.5 GB6845
Code 290K 6.7B Instruct16K / 13.5 GB676
Datascience Coder 6.7B16K / 13.5 GB6683
... 6.7B Instruct Trt Int4 G64 Hf16K / 4.2 GB70
...6.7B Instruct Trt Int8 G128 Hf16K / 7.2 GB70
NaturalSQL 6.7B V016K / 13.5 GB1036
SQL Sorcerer 6.7B V1.116K / 13.5 GB60
DeepYi Second16K / 12.6 GB130
SQL Sorcerer 6.7B V1.016K / 13.5 GB80
...rpreter DS 6.7B 8.0bpw H8 EXL216K / 6.9 GB122
Note: green Score (e.g. "73.2") means that the model is better than akiray1/merge_code_gen.

Rank the Merge Code Gen Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803