Mixtral Chat 7B by LeroyDyer

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

Mixtral Chat 7B is an open-source language model by LeroyDyer. Features: 7b LLM, VRAM: 7.7GB, Context: 32K, License: mit, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

  Arxiv:2203.05482 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

Mixtral Chat 7b Benchmarks

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 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
Updated2026-04-06
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
Downloads
Likes
Mistral 7B Instruct V0.2.gguf32K / 14.5 GB173
Mistral 7B Instruct V0.2 GGUF32K / 4.4 GB362
...andle Mistral 7B Instruct V0.232K / 14.4 GB150
Tamil Mistral 7B Instruct V0.132K / 14.8 GB23014
Mistral V0.3 7B Cybersecurity32K / 14.5 GB301
BioMistralMerged32K / 14.4 GB552
Mistral 7B Instruct V0.3 GGUF32K / 2.7 GB1451
Mistral 7B Instruct V0.3 GGUF32K / 2.7 GB1241
...tral 7B V0.3 Chinese Chat 4bit32K / 4.1 GB762
...tral 7B V0.3 Chinese Chat 8bit32K / 7.7 GB382
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  

What open-source LLMs or SLMs are you in search of? 53151 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a