What are the hardware requirements for Merged Dual Explain Stage 1 7B V1?

Merged Dual Explain Stage 1 7B V1 requires approximately 16 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 Merged Dual Explain Stage 1 7B V1 and how large is it?

Merged Dual Explain Stage 1 7B V1 is developed by tkhangg0910, 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 Merged Dual Explain Stage 1 7B V1?

Merged Dual Explain Stage 1 7B V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Merged Dual Explain Stage 1 7B V1 by tkhangg0910 — VRAM 16GB, 32K context

Name: Merged Dual Explain Stage 1 7B V1
Author: tkhangg0910

Merged Dual Explain Stage 1 7B V1 is an open-source language model by tkhangg0910. Features: 7b LLM, VRAM: 16GB, Context: 32K, Merged, LLM Explorer Score: 0.24.

Merged Model Pytorch Region:us Sharded Tracllava2d

Model Card on HF 🤗: https://huggingface.co/tkhangg0910/Merged-Dual-Explain-stage_1-7b_v1

Merged Dual Explain Stage 1 7B V1 Parameters and Internals

LLM Name	Merged Dual Explain Stage 1 7b V1
Repository 🤗	https://huggingface.co/tkhangg0910/Merged-Dual-Explain-stage_1-7b_v1
Merged Model	Yes
Model Size	7b
Required VRAM	16 GB
Updated	2026-05-29
Maintainer	tkhangg0910
Model Type	TracLlava2D
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 1.1 GB: 4-of-4
Model Architecture	TracLLava2DForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.6
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32002

Rank the Merged Dual Explain Stage 1 7B V1 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 Merged Dual Explain Stage 1 7B V1

Best Alternatives	Context / RAM	Downloads
... Expert Adaptive 7b V2 Data V2	32K / 16 GB	31
...e 1 Mhc 7B Fixed Gates Data V1	32K / 16 GB	96
...ed Dual Explain Stage 1 Mhc 7B	32K / 16.1 GB	59

Note: green Score (e.g. "73.2") means that the model is better than tkhangg0910/Merged-Dual-Explain-stage_1-7b_v1.