What are the hardware requirements for Self Reflect MistralSmallit Mg DPO Iter1?

Self Reflect MistralSmallit Mg DPO Iter1 requires approximately 60.8 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 Self Reflect MistralSmallit Mg DPO Iter1 and how large is it?

Self Reflect MistralSmallit Mg DPO Iter1 is developed by RyanYr, a model with 22.2b 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 Self Reflect MistralSmallit Mg DPO Iter1?

Self Reflect MistralSmallit Mg DPO Iter1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Self Reflect MistralSmallit Mg DPO Iter1 by RyanYr — VRAM 60.8GB, 32K context

Name: Self Reflect MistralSmallit Mg DPO Iter1
Author: RyanYr

Self Reflect MistralSmallit Mg DPO Iter1 is an open-source language model by RyanYr. Features: 22.2b LLM, VRAM: 60.8GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.15.

Arxiv:2305.18290 Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-s... Conversational Dpo Endpoints compatible Generated from trainer Instruct Mistral Region:us Safetensors Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/RyanYr/self-reflect_mistralSmallit_mg_dpo_iter1

Self Reflect MistralSmallit Mg DPO Iter1 Parameters and Internals

LLM Name	Self Reflect MistralSmallit Mg DPO Iter1
Repository 🤗	https://huggingface.co/RyanYr/self-reflect_mistralSmallit_mg_dpo_iter1
Model Name	Mistral-Small-Instruct-2409_mg_dpo_iter1
Base Model(s)	Mistral Small Instruct 2409 mistralai/Mistral-Small-Instruct-2409
Model Size	22.2b
Required VRAM	60.8 GB
Updated	2024-11-15
Maintainer	RyanYr
Model Type	mistral
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 4.9 GB: 1-of-9 5.0 GB: 2-of-4 5.0 GB: 2-of-9 5.0 GB: 3-of-4 5.0 GB: 3-of-9 1.1 GB: 4-of-4 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 0.0 GB
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.45.2
Tokenizer Class	LlamaTokenizer
Padding Token	[PAD]
Vocabulary Size	32769
Torch Data Type	bfloat16

Rank the Self Reflect MistralSmallit Mg DPO Iter1 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Self Reflect MistralSmallit Mg DPO Iter1

Best Alternatives	Context / RAM	Downloads	Likes
Mistral Small Instruct 2409	128K / 44.7 GB	32	8
...lect MistralSmallit MMQA Iter1	32K / 44.7 GB	36	0
MS Sunfall V0.7.0	32K / 44.7 GB	3	12
...istral Small It MMQA DPO Iter1	32K / 44.7 GB	5	0
...mall Instruct 2409 Abliterated	32K / 44.7 GB	10	4
MistralSmall1500CTXDummy	32K / 44.7 GB	14	0
MistralSmall1500CTX	32K / 44.7 GB	13	0

Note: green Score (e.g. "73.2") means that the model is better than RyanYr/self-reflect_mistralSmallit_mg_dpo_iter1.