What are the hardware requirements for Ice0.88 07.02 RP DPO Merged 16bit?

Ice0.88 07.02 RP DPO Merged 16bit requires approximately 14.4 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 Ice0.88 07.02 RP DPO Merged 16bit and how large is it?

Ice0.88 07.02 RP DPO Merged 16bit is developed by icefog72. 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 Ice0.88 07.02 RP DPO Merged 16bit?

Ice0.88 07.02 RP DPO Merged 16bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ice0.88 07.02 RP DPO Merged 16bit by icefog72 — VRAM 14.4GB, 32K context

Name: Ice0.88 07.02 RP DPO Merged 16bit
Author: icefog72

Ice0.88 07.02 RP DPO Merged 16bit is an open-source language model by icefog72. Features: LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Quantized, Merged, LLM Explorer Score: 0.16.

Merged Model 16bit Base model:finetune:icefog72/i... Base model:icefog72/ice0.88-07... Conversational En Endpoints compatible Mistral Pytorch Quantized Region:us Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/icefog72/Ice0.88-07.02-RP-dpo-merged_16bit

Ice0.88 07.02 RP DPO Merged 16bit Parameters and Internals

LLM Name	Ice0.88 07.02 RP DPO Merged 16bit
Repository 🤗	https://huggingface.co/icefog72/Ice0.88-07.02-RP-dpo-merged_16bit
Base Model(s)	icefog72/Ice0.88-07.02-RP icefog72/Ice0.88-07.02-RP
Merged Model	Yes
Required VRAM	14.4 GB
Updated	2026-05-05
Maintainer	icefog72
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	en
Quantization Type	16bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Ice0.88 07.02 RP DPO Merged 16bit 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

Quantized Models of the Ice0.88 07.02 RP DPO Merged 16bit

Model	Likes	Downloads	VRAM
...88 07.02 RP DPO Merged 16bit 3	0	25	14 GB

Best Alternatives to Ice0.88 07.02 RP DPO Merged 16bit

Best Alternatives	Context / RAM	Downloads	Likes
NemoMix Unleashed EXL2 4bpw	1000K / 7.3 GB	5	9
...al Small 2505 Unsloth Bnb 4bit	128K / 15 GB	82	5
...eZephir Sft Instruct Ead 16bit	32K / 14.4 GB	56	0
...cr To Json V1 HQQ 1bit Smashed	32K / 1.6 GB	5	0
...cr To Json V1 HQQ 4bit Smashed	32K / 4.2 GB	5	0
ScikitLLM Model EXL2	32K / 3 GB	5	1
Chargen V2 8bpw EXL2	32K / 7.4 GB	1	1
...tral PairRM DPO 8.0bpw H8 EXL2	32K / 7.4 GB	7	2
HamSter 0.2 8.0bpw H8 EXL2	32K / 7.4 GB	3	1
...N L1 Chat RL V1.3.0bpw H6 EXL2	32K / 3 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than icefog72/Ice0.88-07.02-RP-dpo-merged_16bit.