Mistral 7B Chat 32K by Moses25

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

Mistral 7B Chat 32K 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 Chat 32K (Moses25/Mistral-7B-chat-32k)

Mistral 7B Chat 32K Parameters and Internals

Model Type 
Causal Language Model, Chatbot
Use Cases 
Areas:
Web applications, Chat interfaces
Applications:
Customer support, Interactive assistants
Primary Use Cases:
Interactive chat, Customer engagement
Supported Languages 
Chinese (High), English (High)
Training Details 
Data Sources:
Chinese and English datasets
Methodology:
Fine-tuning on Mistral-Instruct-V0.2
Context Length:
16384
Model Architecture:
AutoModelForCausalLM
Input Output 
Input Format:
Structured conversation format with roles specified
Accepted Modalities:
Text
Output Format:
Text responses
Performance Tips:
Ensure stable internet connection and sufficient computational resources
LLM NameMistral 7B Chat 32K
Repository ๐Ÿค—https://huggingface.co/Moses25/Mistral-7B-chat-32k 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerMoses25
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Mistral 7B Chat 32K

Model
Likes
Downloads
VRAM
Vistral 7B Chat 2054 GB

Best Alternatives to Mistral 7B Chat 32K

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB462011
MegaBeam Mistral 7B 512K512K / 14.4 GB568150
SpydazWeb AI HumanAI RP512K / 14.4 GB121
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB563316
Hebrew Mistral 7B 200K256K / 30 GB1461915
Astral 256K 7B V2250K / 14.4 GB70
Astral 256K 7B250K / 14.4 GB50
Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than Moses25/Mistral-7B-chat-32k.

Rank the Mistral 7B Chat 32K 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 v20241227