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MwM 22B Instruct by qingy2024

By qingy2024 · 6 downloads
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MwM 22B Instruct is an open-source language model by qingy2024. Features: 22b LLM, VRAM: 44.7GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.16.

  4bit   Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-sma...   Conversational   En   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/qingy2024/MwM-22B-Instruct 

MwM 22B Instruct Parameters and Internals

LLM NameMwM 22B Instruct
Repository 🤗https://huggingface.co/qingy2024/MwM-22B-Instruct 
Base Model(s)  ...l Small Instruct 2409 Bnb 4bit   unsloth/Mistral-Small-Instruct-2409-bnb-4bit
Model Size22b
Required VRAM44.7 GB
Updated2025-04-10
Maintainerqingy2024
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   5.0 GB: 8-of-9   5.0 GB: 9-of-9
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.47.1
Tokenizer ClassLlamaTokenizer
Padding Token[control_748]
Vocabulary Size32768
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than qingy2024/MwM-22B-Instruct.