Mistral 7B Instruct V0.2 Code Ft by Nondzu

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Mistral 7B Instruct V0.2 Code Ft Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Instruct V0.2 Code Ft (Nondzu/Mistral-7B-Instruct-v0.2-code-ft)
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Mistral 7B Instruct V0.2 Code Ft Parameters and Internals

Model Type 
MistralForCausalLM
Use Cases 
Areas:
coding assistance, co-pilot functionalities
Additional Notes 
The model has been enhanced with additional training features such as bf16 training, gradient checkpointing, and flash attention.
Training Details 
Data Sources:
ajibawa-2023/Code-74k-ShareGPT
Context Length:
16384
Model Architecture:
MistralForCausalLM
Input Output 
Input Format:
ChatML
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Ensure you are using the recommended hardware specifications for optimal performance.
LLM NameMistral 7B Instruct V0.2 Code Ft
Repository ๐Ÿค—https://huggingface.co/Nondzu/Mistral-7B-Instruct-v0.2-code-ft 
Model Size7b
Required VRAM14.4 GB
Updated2025-08-20
MaintainerNondzu
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-nd-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Mistral 7B Instruct V0.2 Code Ft

Model
Likes
Downloads
VRAM
... 7B Instruct V0.2 Code Ft GGUF3010613 GB
...l 7B Instruct V0.2 Code Ft AWQ6164 GB
... 7B Instruct V0.2 Code Ft GPTQ5114 GB

Best Alternatives to Mistral 7B Instruct V0.2 Code Ft

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Context / RAM
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Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB18718
SpydazWeb AI HumanAI RP512K / 14.4 GB941
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...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB50
...1 Summarize 64K LoRANET Merged128K / 14.4 GB50
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Seed X Instruct 7B32K / 15 GB8915121
Mistral 7B Instruct V0.132K / 14.4 GB1895021782
AQUA 7B32K / 14.5 GB4379
Note: green Score (e.g. "73.2") means that the model is better than Nondzu/Mistral-7B-Instruct-v0.2-code-ft.

Rank the Mistral 7B Instruct V0.2 Code Ft 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124