What are the hardware requirements for Text2cypher Codestral 16bit?

Text2cypher Codestral 16bit requires approximately 44.7 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 Text2cypher Codestral 16bit and how large is it?

Text2cypher Codestral 16bit is developed by tomasonjo, a model with 22b 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 Text2cypher Codestral 16bit?

Text2cypher Codestral 16bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Text2cypher Codestral 16bit by tomasonjo — VRAM 44.7GB, 32K context

Name: Text2cypher Codestral 16bit
Author: tomasonjo

Text2cypher Codestral 16bit is an open-source language model by tomasonjo. Features: 22b LLM, VRAM: 44.7GB, Context: 32K, License: MNPL-0.1, Quantized, LLM Explorer Score: 0.13.

16bit Base model:finetune:mistralai/... Base model:mistralai/codestral... Dataset:tomasonjo/text2cypher-... En Endpoints compatible Mistral Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/tomasonjo/text2cypher-codestral-16bit

Text2cypher Codestral 16bit Parameters and Internals

Model Type

text-generation-inference, transformers

Additional Notes

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.

Training Details

Data Sources:

tomasonjo/text2cypher-gpt4o-clean

Methodology:

Trained 2x faster with Unsloth and Huggingface's TRL library

LLM Name	Text2cypher Codestral 16bit
Repository 🤗	https://huggingface.co/tomasonjo/text2cypher-codestral-16bit
Base Model(s)	mistralai/Codestral-22B-v0.1 mistralai/Codestral-22B-v0.1
Model Size	22b
Required VRAM	44.7 GB
Updated	2026-07-21
Maintainer	tomasonjo
Model Type	mistral
Model Files	4.9 GB: 1-of-9 5.0 GB: 2-of-9 5.0 GB: 3-of-9 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
Supported Languages	en
Quantization Type	16bit
Model Architecture	MistralForCausalLM
License	MNPL-0.1
Context Length	32768
Model Max Length	32768
Transformers Version	4.41.1
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32768
Torch Data Type	bfloat16

Rank the Text2cypher Codestral 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

Best Alternatives to Text2cypher Codestral 16bit

Best Alternatives	Context / RAM	Downloads	Likes
MwM 22B Instruct	128K / 44.7 GB	6	0
... Instruct 0.2 Chkpt 200 16 Bit	128K / 44.7 GB	6	1
...l 22B V0.1 Hf FIM Fix Bnb 4bit	32K / 13.1 GB	1	1
... Abliterated V3.8.0bpw H8 EXL2	32K / 21.2 GB	2	1
Codestral 22B V0.1 EXL2 8.0bpw	32K / 20.9 GB	9	3
Codestral 22B V0.1 EXL2 6.0bpw	32K / 16.9 GB	7	1
...estral 22B V0.1 Hf 2 2bpw EXL2	32K / 6.6 GB	3	1
Codestral 22B V0.1 EXL2 5.0bpw	32K / 14.2 GB	1	1
MS Schisandra 22B V0.2	128K / 44.7 GB	8	9
...ntheon RP Pure 1.6.2 22B Small	128K / 44.7 GB	17	35

Note: green Score (e.g. "73.2") means that the model is better than tomasonjo/text2cypher-codestral-16bit.