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Mixtral Chat 7B by LeroyDyer

 »  All LLMs  »  LeroyDyer  »  Mixtral Chat 7B   URL Share it on

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  Arxiv:2203.05482   Autotrain compatible Base model:mistralai/mistral-7... Base model:quantized:mistralai...   Doi:10.57967/hf/1900   En   Endpoints compatible   Gguf   Instruct   Merge   Mergekit   Mistral   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/LeroyDyer/Mixtral_Chat_7b 

Mixtral Chat 7b Benchmarks

LLME Score: 0.18354
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral Chat 7B (LeroyDyer/Mixtral_Chat_7b)

Mixtral Chat 7B Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (native)
Training Details 
Methodology:
linear merge
Context Length:
3900
LLM NameMixtral Chat 7b
Repository 🤗https://huggingface.co/LeroyDyer/Mixtral_Chat_7b 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.1   mistralai/Mistral-7B-Instruct-v0.1
Model Size7b
Required VRAM7.7 GB
Updated2024-12-22
MaintainerLeroyDyer
Model Typemistral
Instruction-BasedYes
Model Files  7.7 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Mixtral Chat 7B

Best Alternatives
Context / RAM
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Likes
Mistral 7B Instruct V0.2 GGUF32K / 4.4 GB1992
Mistral 7B Instruct V0.2.gguf32K / 14.5 GB203
...andle Mistral 7B Instruct V0.232K / 14.4 GB390
...tral 7B V0.3 Chinese Chat 8bit32K / 7.7 GB104573
BioMistralMerged32K / 14.4 GB39220
Tamil Mistral 7B Instruct V0.132K / 14.8 GB25014
...stral 7B V0.3 Chinese Chat F1632K / 14.5 GB4711
...tral 7B V0.3 Chinese Chat 4bit32K / 4.1 GB1701
Mistral 7B Instruct V0.3 GGUF32K / 2.7 GB400
Mistral 7B Instruct V0.3 GGUF32K / 2.7 GB290
Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/Mixtral_Chat_7b.

Rank the Mixtral Chat 7B 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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Release v20241217
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