What are the hardware requirements for Mergekit Model Stock Injkqri?

Mergekit Model Stock Injkqri requires approximately 29.7 GB of VRAM and supports a context window of 986K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mergekit Model Stock Injkqri and how large is it?

Mergekit Model Stock Injkqri is developed by mergekit-community, a model with 14b 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 Mergekit Model Stock Injkqri?

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

Mergekit Model Stock Injkqri by mergekit-community — VRAM 29.7GB, 986K context

Name: Mergekit Model Stock Injkqri
Author: mergekit-community

Mergekit Model Stock Injkqri is an open-source language model by mergekit-community. Features: 14b LLM, VRAM: 29.7GB, Context: 986K, Instruction-Based, Code Generating, Merged, LLM Explorer Score: 0.16.

Merged Model Arxiv:2403.19522 Base model:arcee-ai/virtuoso-s... Base model:qwen/qwen2.5-14b-in... Base model:qwen/qwen2.5-coder-... Base model:sthenno-com/miscii-... Base model:sthenno/tempesthenn... Codegen Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/mergekit-model_stock-injkqri

Mergekit Model Stock Injkqri Parameters and Internals

LLM Name	Mergekit Model Stock Injkqri
Repository 🤗	https://huggingface.co/mergekit-community/mergekit-model_stock-injkqri
Base Model(s)	Miscii 14B 1225 Virtuoso Small Qwen/Qwen2.5-Coder-14B Qwen/Qwen2.5-14B-Instruct-1M Tempesthenno Ppo Ckpt40 sthenno-com/miscii-14b-1225 arcee-ai/Virtuoso-Small Qwen/Qwen2.5-Coder-14B Qwen/Qwen2.5-14B-Instruct-1M sthenno/tempesthenno-ppo-ckpt40
Merged Model	Yes
Model Size	14b
Required VRAM	29.7 GB
Updated	2026-07-05
Maintainer	mergekit-community
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.8 GB: 6-of-6
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
Context Length	1010000
Model Max Length	1010000
Transformers Version	4.48.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Mergekit Model Stock Injkqri 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 Mergekit Model Stock Injkqri

Best Alternatives	Context / RAM	Downloads	Likes
...hts Qwen2.5 14B Coder Creative	986K / 29.3 GB	267	0
ZYH LLM Qwen2.5 14B V4	986K / 29.7 GB	27	8
Qwen2.5 14B YOYO V4	986K / 29.7 GB	20	5
ZYH LLM Qwen2.5 14B V2	986K / 29.7 GB	14	1
ZYH LLM Qwen2.5 14B V5	986K / 29.7 GB	12	8
Qwen2.5 14B YOYO V5	986K / 29.7 GB	10	4
Mergekit Model Stock Ggfjmyf	986K / 29.7 GB	14	0
...1 DeepSeekR1 Coder 14B Preview	128K / 29.7 GB	9	3
Tessa T1 14B	117K / 29.7 GB	6	13
UIGEN T1.5 14B	117K / 29.7 GB	8	6

Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/mergekit-model_stock-injkqri.