What are the hardware requirements for Merged16 Mistral 32 Large Grpo 5 Weak3?

Merged16 Mistral 32 Large Grpo 5 Weak3 requires approximately 14.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Merged16 Mistral 32 Large Grpo 5 Weak3 and how large is it?

Merged16 Mistral 32 Large Grpo 5 Weak3 is developed by Nitish035, a model with 14.8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Merged16 Mistral 32 Large Grpo 5 Weak3?

Merged16 Mistral 32 Large Grpo 5 Weak3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Merged16 Mistral 32 Large Grpo 5 Weak3 by Nitish035 — VRAM 14.5GB, 32K context

Name: Merged16 Mistral 32 Large Grpo 5 Weak3
Author: Nitish035

Merged16 Mistral 32 Large Grpo 5 Weak3 is an open-source language model by Nitish035. Features: 14.8b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.19.

Autotrain compatible Base model:finetune:nitish035/... Base model:nitish035/merged16-... Conversational En Endpoints compatible Mistral Qwen3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/Nitish035/merged16_mistral_32_large_grpo-5-weak3

Merged16 Mistral 32 Large Grpo 5 Weak3 Parameters and Internals

LLM Name	Merged16 Mistral 32 Large Grpo 5 Weak3
Repository 🤗	https://huggingface.co/Nitish035/merged16_mistral_32_large_grpo-5-weak3
Base Model(s)	Merged16 Sft Qwen3 32 2 Nitish035/merged16-sft__qwen3-32-2
Model Size	14.8b
Required VRAM	14.5 GB
Updated	2025-09-20
Maintainer	Nitish035
Model Type	mistral
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	en
Quantization Type	4bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.54.0
Tokenizer Class	LlamaTokenizer
Padding Token	[control_768]
Vocabulary Size	32768
Torch Data Type	float16

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