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Mixtral V0.3 Full 16bit by Asit03

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  4bit   Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   Conversational   En   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Asit03/mixtral-v0.3-full-16bit 

Mixtral V0.3 Full 16bit Benchmarks

LLME Score: 0.26151
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral V0.3 Full 16bit (Asit03/mixtral-v0.3-full-16bit)

Mixtral V0.3 Full 16bit Parameters and Internals

LLM NameMixtral V0.3 Full 16bit
Repository 🤗https://huggingface.co/Asit03/mixtral-v0.3-full-16bit 
Base Model(s)  unsloth/mistral-7b-instruct-v0.3-bnb-4bit   unsloth/mistral-7b-instruct-v0.3-bnb-4bit
Model Size7b
Required VRAM14.5 GB
Updated2025-05-31
MaintainerAsit03
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.51.3
Tokenizer ClassLlamaTokenizerFast
Padding Token[control_768]
Vocabulary Size32768
Torch Data Typebfloat16

Quantized Models of the Mixtral V0.3 Full 16bit

Model
Likes
Downloads
VRAM
Mixtral V0.3 Full 16bit V205414 GB

Best Alternatives to Mixtral V0.3 Full 16bit

Best Alternatives
Context / RAM
Downloads
Likes
...al Nemo Instruct 2407 Bnb 4bit128K / 8.3 GB22632627
...tral 7B Instruct V0.3 Bnb 4bit32K / 4.1 GB5798928
...tral 7B Instruct V0.2 Bnb 4bit32K / 4.1 GB4429332
Mistral 7B Instruct V0.2 Fp1632K / 14.4 GB260
Mistral 7B Instruct V0.2 4bit32K / 4.3 GB2061
... 7B Instruct V0.3ContinuedFine32K / 14.5 GB920
Mistral 7B Instruct V0.2 8bit32K / 7.6 GB231
NaturalLM 7B Instruct32K / 14.5 GB1510
...eMistral 7B Instruct Ead 16bit32K / 14.5 GB380
MistralContinuedFine32K / 14.5 GB150
Note: green Score (e.g. "73.2") means that the model is better than Asit03/mixtral-v0.3-full-16bit.

Rank the Mixtral V0.3 Full 16bit 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  
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Multi-Language Support and Translation  

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Release v20241227
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