What are the hardware requirements for Youri 7B Sft Qa Context Jaqket AWQ?

Youri 7B Sft Qa Context Jaqket AWQ requires approximately 3.9 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Youri 7B Sft Qa Context Jaqket AWQ and how large is it?

Youri 7B Sft Qa Context Jaqket AWQ is developed by hotchpotch, 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 Youri 7B Sft Qa Context Jaqket AWQ?

Youri 7B Sft Qa Context Jaqket AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Youri 7B Sft Qa Context Jaqket AWQ by hotchpotch — VRAM 3.9GB, 4K context

Name: Youri 7B Sft Qa Context Jaqket AWQ
Author: hotchpotch

Youri 7B Sft Qa Context Jaqket AWQ is an open-source language model by hotchpotch. Features: 7b LLM, VRAM: 3.9GB, Context: 4K, License: llama2, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.1.

Merged Model 4-bit Awq Dataset:hotchpotch/jaqket v1 q... Instruct Ja Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/hotchpotch/youri-7b-sft-qa-context-jaqket-awq

Youri 7B Sft Qa Context Jaqket AWQ Parameters and Internals

Model Type

text-generation

Additional Notes

AutoGPTQ and AutoAWQ quantized versions available.

Supported Languages

ja (unknown)

Training Details

Data Sources:

hotchpotch/jaqket_v1_qa_wikija_context

Methodology:

fine-tuning

LLM Name	Youri 7B Sft Qa Context Jaqket AWQ
Repository 🤗	https://huggingface.co/hotchpotch/youri-7b-sft-qa-context-jaqket-awq
Merged Model	Yes
Model Size	7b
Required VRAM	3.9 GB
Updated	2026-06-06
Maintainer	hotchpotch
Model Type	llama
Instruction-Based	Yes
Model Files	3.9 GB
Supported Languages	ja
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Youri 7B Sft Qa Context Jaqket AWQ 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 Youri 7B Sft Qa Context Jaqket AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Llama 2 7B 32K Instruct AWQ	32K / 3.9 GB	3	2
...eechless Tora Code 7B V1.0 AWQ	16K / 3.9 GB	6	1
CodeLlama 7B Instruct AWQ	16K / 3.9 GB	278	4
...ama 7B Instruct Hf W4 G128 AWQ	16K / 3.9 GB	6	0
CausalLM 7B AWQ	8K / 5.8 GB	5	3
...essianai 7B Chat Bilingual AWQ	8K / 3.9 GB	15	2
Leo Hessianai 7B Chat AWQ	8K / 3.9 GB	3	1
...epseek Math 7B Instruct AWQ Q4	4K / 4.8 GB	6	0
Llama 2 7B Ft Instruct Es AWQ	4K / 3.9 GB	0	1
Swallow 7B Instruct AWQ	4K / 4.1 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than hotchpotch/youri-7b-sft-qa-context-jaqket-awq.