What are the hardware requirements for Pathumma Llm Text 1.0.0?

Pathumma Llm Text 1.0.0 requires approximately 30.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Pathumma Llm Text 1.0.0 and how large is it?

Pathumma Llm Text 1.0.0 is developed by nectec, a model with 7b 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 Pathumma Llm Text 1.0.0?

Pathumma Llm Text 1.0.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pathumma Llm Text 1.0.0 by nectec — VRAM 30.5GB, 128K context

Name: Pathumma Llm Text 1.0.0
Rating: 4 (8 reviews)
Author: nectec

Pathumma Llm Text 1.0.0 is an open-source language model by nectec. Features: 7b LLM, VRAM: 30.5GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.15.

Arxiv:2407.10671 Base model:finetune:nectec/ope... Base model:nectec/openthaillm-... Biology Chemistry Code Conversational En Endpoints compatible Finance Gguf Legal Medical Pytorch Q4 Quantized Qwen2 Region:us Safetensors Sharded Tensorflow Th Zh

Model Card on HF 🤗: https://huggingface.co/nectec/Pathumma-llm-text-1.0.0

Pathumma Llm Text 1.0.0 Parameters and Internals

LLM Name	Pathumma Llm Text 1.0.0
Repository 🤗	https://huggingface.co/nectec/Pathumma-llm-text-1.0.0
Base Model(s)	OpenThaiLLM Prebuilt 7B nectec/OpenThaiLLM-Prebuilt-7B
Model Size	7b
Required VRAM	30.5 GB
Updated	2026-08-04
Maintainer	nectec
Model Type	qwen2
Model Files	4.7 GB 5.0 GB: 1-of-7 4.8 GB: 2-of-7 4.9 GB: 3-of-7 4.9 GB: 4-of-7 5.0 GB: 5-of-7 3.7 GB: 6-of-7 2.2 GB: 7-of-7 30.5 GB
Supported Languages	th zh en
GGUF Quantization	Yes
Quantization Type	q4\|gguf\|q4_k
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.43.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Pathumma Llm Text 1.0.0 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 Pathumma Llm Text 1.0.0

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JiRackUltra 7b	128K / 3 GB	5537	0
Count Cpt V6	128K / 15.2 GB	349	0
...lling ReSearch Gguf Q8 0 Codex	128K / 8.1 GB	218	2
Deepseek Qwen2.5 7B Redistil	128K / 15.2 GB	62	0
SvelteCodeQwen1.5 7B Chat	64K / 14.5 GB	460	0
CodeQwen1.5 7B Chat GGUF	64K / 3 GB	139	3
Qwen2.5 7B Instruct Desyced	32K / 15.2 GB	472	1
Uraion Agent Steer	32K / 3 GB	490	1
Shellwhiz 7B	32K / 15.2 GB	145	0
Qwen2 Cantonese 7B Instruct	32K / 15.4 GB	121	4

Note: green Score (e.g. "73.2") means that the model is better than nectec/Pathumma-llm-text-1.0.0.