What are the hardware requirements for Chocolatine 32B Instruct DPO V1.2?

Chocolatine 32B Instruct DPO V1.2 requires approximately 65.8 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 Chocolatine 32B Instruct DPO V1.2 and how large is it?

Chocolatine 32B Instruct DPO V1.2 is developed by jpacifico, a model with 32b 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 Chocolatine 32B Instruct DPO V1.2?

Chocolatine 32B Instruct DPO V1.2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Chocolatine 32B Instruct DPO V1.2 by jpacifico — VRAM 65.8GB, 32K context

Name: Chocolatine 32B Instruct DPO V1.2
Author: jpacifico

Chocolatine 32B Instruct DPO V1.2 is an open-source language model by jpacifico. Features: 32b LLM, VRAM: 65.8GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.15.

Chocolatine Conversational Dataset:jpacifico/french-orca-... En Endpoints compatible Fr Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/jpacifico/Chocolatine-32B-Instruct-DPO-v1.2

Chocolatine 32B Instruct DPO V1.2 Parameters and Internals

LLM Name	Chocolatine 32B Instruct DPO V1.2
Repository 🤗	https://huggingface.co/jpacifico/Chocolatine-32B-Instruct-DPO-v1.2
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-07-30
Maintainer	jpacifico
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-14 4.9 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 2.1 GB: 14-of-14
Supported Languages	fr en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	float16
Errors	replace

Rank the Chocolatine 32B Instruct DPO V1.2 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 Chocolatine 32B Instruct DPO V1.2

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	28	17
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	22	4
Franqwenstein 35B	128K / 69.8 GB	5	8
ELYZA Thinking 1.0 Qwen 32B	128K / 65.8 GB	23	10
Archaeo 32B KTO	128K / 65.8 GB	19	4
Hamanasu Magnum QwQ 32B	128K / 65.8 GB	295	9
Qwen2.5 32B Gokgok Step3	128K / 65.7 GB	6	0
Openthaigpt R1 32B Instruct	128K / 65.8 GB	33	8
Qwen2.5 32B Dark Days Stage2	128K / 65.8 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than jpacifico/Chocolatine-32B-Instruct-DPO-v1.2.