What are the hardware requirements for Mergekit Model Stock Fpfjlqs?

Mergekit Model Stock Fpfjlqs requires approximately 16.1 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 Mergekit Model Stock Fpfjlqs and how large is it?

Mergekit Model Stock Fpfjlqs is developed by mergekit-community, a model with 8b 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 Fpfjlqs?

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

Mergekit Model Stock Fpfjlqs by mergekit-community — VRAM 16.1GB, 128K context

Name: Mergekit Model Stock Fpfjlqs
Author: mergekit-community

Mergekit Model Stock Fpfjlqs is an open-source language model by mergekit-community. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, Fine-Tuned, Merged, LLM Explorer Score: 0.16.

Merged Model Arxiv:2403.19522 Base model:azazelle/anjir-adap... Base model:azazelle/nimue-8b Base model:beastgokul/bio-medi... Base model:kik41/lora-type-des... Base model:resplendentai/smart... Base model:vannynakamura/finet... Conversational Endpoints compatible Finetuned Llama Lora Region:us Safetensors Sharded Tensorflow

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

Mergekit Model Stock Fpfjlqs Parameters and Internals

LLM Name	Mergekit Model Stock Fpfjlqs
Repository 🤗	https://huggingface.co/mergekit-community/mergekit-model_stock-fpfjlqs
Base Model(s)	Sexeh Time Testing Finetune Models MedicalAI Sexeh Time Testing Nimue 8B Sexeh Time Testing ...ultiModal Llama 3 8B Finetuned Sexeh Time Testing Smarts Llama3 Sexeh Time Testing Azazelle/ANJIR-ADAPTER-128 Sexeh Time Testing kik41/lora-type-descriptive-llama-3-8b-v2 mergekit-community/sexeh_time_testing vannynakamura/finetune_models_medicalAI mergekit-community/sexeh_time_testing Azazelle/Nimue-8B mergekit-community/sexeh_time_testing BeastGokul/Bio-Medical-MultiModal-Llama-3-8B-Finetuned mergekit-community/sexeh_time_testing ResplendentAI/Smarts_Llama3 mergekit-community/sexeh_time_testing Azazelle/ANJIR-ADAPTER-128 mergekit-community/sexeh_time_testing kik41/lora-type-descriptive-llama-3-8b-v2
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-04
Maintainer	mergekit-community
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
LoRA Model	Yes
Torch Data Type	bfloat16

Rank the Mergekit Model Stock Fpfjlqs 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 Fpfjlqs

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...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

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