What are the hardware requirements for ClimateChat?

ClimateChat requires approximately 15 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 ClimateChat and how large is it?

ClimateChat is developed by itpossible, a model with 7.5b 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 ClimateChat?

ClimateChat is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ClimateChat by itpossible — VRAM 15GB, 32K context

Name: ClimateChat
Author: itpossible

ClimateChat is an open-source language model by itpossible. Features: 7.5b LLM, VRAM: 15GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.14.

Arxiv:2506.12473 Arxiv:2506.13796 Base model:finetune:itpossible... Base model:itpossible/jiuzhou-... Conversational Endpoints compatible Inference endpoints Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/itpossible/ClimateChat

ClimateChat Parameters and Internals

Model Type

text-generation

LLM Name	ClimateChat
Repository 🤗	https://huggingface.co/itpossible/ClimateChat
Base Model(s)	JiuZhou Base itpossible/JiuZhou-base
Model Size	7.5b
Required VRAM	15 GB
Updated	2026-07-29
Maintainer	itpossible
Model Type	mistral
Model Files	3.9 GB: 1-of-4 3.9 GB: 2-of-4 3.9 GB: 3-of-4 3.3 GB: 4-of-4
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	63872
Torch Data Type	bfloat16

Rank the ClimateChat 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

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Mymodel V2	32K / 30.1 GB	6	0
Mymodel V1	32K / 59 GB	5	0