What are the hardware requirements for SvelteCodeQwen1.5 7B Chat?

SvelteCodeQwen1.5 7B Chat requires approximately 14.5 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SvelteCodeQwen1.5 7B Chat and how large is it?

SvelteCodeQwen1.5 7B Chat is developed by Dreamslol, 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 SvelteCodeQwen1.5 7B Chat?

SvelteCodeQwen1.5 7B Chat is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SvelteCodeQwen1.5 7B Chat by Dreamslol — VRAM 14.5GB, 64K context

Name: SvelteCodeQwen1.5 7B Chat
Author: Dreamslol

SvelteCodeQwen1.5 7B Chat is an open-source language model by Dreamslol. Features: 7b LLM, VRAM: 14.5GB, Context: 64K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

Autotrain compatible Base model:quantized:qwen/code... Base model:qwen/codeqwen1.5-7b... Conversational En Endpoints compatible Gguf Quantized Qwen2 Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Dreamslol/SvelteCodeQwen1.5-7B-Chat

SvelteCodeQwen1.5 7B Chat Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, qwen2, trl, sft

Additional Notes

This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	SvelteCodeQwen1.5 7B Chat
Repository 🤗	https://huggingface.co/Dreamslol/SvelteCodeQwen1.5-7B-Chat
Base Model(s)	Qwen/CodeQwen1.5-7B-Chat Qwen/CodeQwen1.5-7B-Chat
Model Size	7b
Required VRAM	14.5 GB
Updated	2024-11-12
Maintainer	Dreamslol
Model Type	qwen2
Model Files	4.7 GB 4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.6 GB: 3-of-3
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	65536
Model Max Length	65536
Transformers Version	4.41.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<fim_pad>
Vocabulary Size	92416
Torch Data Type	bfloat16

Rank the SvelteCodeQwen1.5 7B Chat 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 SvelteCodeQwen1.5 7B Chat

Best Alternatives	Context / RAM	Downloads	Likes
JiRackUltra 7b	128K / 3 GB	5537	0
Count Cpt V6	128K / 15.2 GB	349	0
...lling ReSearch Gguf Q8 0 Codex	128K / 8.1 GB	218	2
Deepseek Qwen2.5 7B Redistil	128K / 15.2 GB	62	0
Pathumma Llm Text 1.0.0	128K / 30.5 GB	377	12
CodeQwen1.5 7B Chat GGUF	64K / 3 GB	139	3
Qwen2.5 7B Instruct Desyced	32K / 15.2 GB	472	1
Uraion Agent Steer	32K / 3 GB	490	1
Shellwhiz 7B	32K / 15.2 GB	145	0
Qwen2 Cantonese 7B Instruct	32K / 15.4 GB	121	4

Note: green Score (e.g. "73.2") means that the model is better than Dreamslol/SvelteCodeQwen1.5-7B-Chat.