What are the hardware requirements for Trendyol Llm 7B Chat V1 0 Gguf?

Trendyol Llm 7B Chat V1 0 Gguf requires approximately 14.6 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 Trendyol Llm 7B Chat V1 0 Gguf and how large is it?

Trendyol Llm 7B Chat V1 0 Gguf is developed by asumansaree, 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 Trendyol Llm 7B Chat V1 0 Gguf?

Trendyol Llm 7B Chat V1 0 Gguf is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Trendyol Llm 7B Chat V1 0 Gguf by asumansaree — VRAM 14.6GB, 32K context

Name: Trendyol Llm 7B Chat V1 0 Gguf
Author: asumansaree

Trendyol Llm 7B Chat V1 0 Gguf is an open-source language model by asumansaree. Features: 7b LLM, VRAM: 14.6GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

Conversational Cpu-inference Endpoints compatible Gguf Llama-cpp-python Mistral Quantized Region:us Safetensors Sharded Tensorflow Tr Trendyol Turkish

Model Card on HF 🤗: https://huggingface.co/asumansaree/trendyol_llm_7b_chat_v1_0_gguf

Trendyol Llm 7b Chat V1 0 Gguf Benchmarks

LLME Score: 0.12542

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Trendyol Llm 7B Chat V1 0 Gguf (asumansaree/trendyol_llm_7b_chat_v1_0_gguf)

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Trendyol Llm 7B Chat V1 0 Gguf Parameters and Internals

LLM Name	Trendyol Llm 7b Chat V1 0 Gguf
Repository 🤗	https://huggingface.co/asumansaree/trendyol_llm_7b_chat_v1_0_gguf
Base Model(s)	Trendyol-LLM-7B-Chat /Trendyol-LLM-7B-Chat
Model Size	7b
Required VRAM	14.6 GB
Updated	2026-05-22
Maintainer	asumansaree
Model Type	mistral
Model Files	4.9 GB: 1-of-3 4.9 GB: 2-of-3 4.8 GB: 3-of-3 7.8 GB
Supported Languages	tr
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	44312
Torch Data Type	bfloat16

Best Alternatives to Trendyol Llm 7B Chat V1 0 Gguf

Best Alternatives	Context / RAM	Downloads	Likes
MegaBeam Mistral 7B 300K Gguf	282K / 5 GB	66	3
MegaBeam Mistral 7B 300K Gguf	282K / 5 GB	35	3
Backrooms Mistral 7B 10e	32K / 14.5 GB	128	0
Mistral 7B Instruct V0.2.gguf	32K / 14.5 GB	17	3
Mistral 7B Instruct V0.2 GGUF	32K / 4.4 GB	35	2
...andle Mistral 7B Instruct V0.2	32K / 14.4 GB	7	0
...andle Dolphin 2.2.1 Mistral 7B	32K / 14.4 GB	126	0
Boptruth Agatha 7B	32K / 14.4 GB	159	0
Mahou 1.2a Mistral 7B	32K / 14.4 GB	152	7
Moxin 7B LLM	32K / 0.9 GB	740	19

Note: green Score (e.g. "73.2") means that the model is better than asumansaree/trendyol_llm_7b_chat_v1_0_gguf.

Rank the Trendyol Llm 7B Chat V1 0 Gguf Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Release v20260328a

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Trendyol Llm 7b Chat V1 0 Gguf Benchmarks

Trendyol Llm 7B Chat V1 0 Gguf Parameters and Internals

Best Alternatives to Trendyol Llm 7B Chat V1 0 Gguf

Rank the Trendyol Llm 7B Chat V1 0 Gguf Capabilities

What open-source LLMs or SLMs are you in search of? 54358 in total.