What are the hardware requirements for Ds Chat Reflct Rmsprop Iter1?

Ds Chat Reflct Rmsprop Iter1 requires approximately 13.9 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 Ds Chat Reflct Rmsprop Iter1 and how large is it?

Ds Chat Reflct Rmsprop Iter1 is developed by yiran-wang3, 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 Ds Chat Reflct Rmsprop Iter1?

Ds Chat Reflct Rmsprop Iter1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ds Chat Reflct Rmsprop Iter1 by yiran-wang3 — VRAM 13.9GB, 4K context

Name: Ds Chat Reflct Rmsprop Iter1
Author: yiran-wang3

Ds Chat Reflct Rmsprop Iter1 is an open-source language model by yiran-wang3. Features: 7b LLM, VRAM: 13.9GB, Context: 4K, License: other, LLM Explorer Score: 0.15.

Alignment-handbook Autotrain compatible Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Conversational Dataset:reflection-gen/ds chat... Dpo Endpoints compatible Generated from trainer Llama Region:us Safetensors Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/yiran-wang3/ds_chat_reflct_rmsprop_iter1

Ds Chat Reflct Rmsprop Iter1 Parameters and Internals

LLM Name	Ds Chat Reflct Rmsprop Iter1
Repository 🤗	https://huggingface.co/yiran-wang3/ds_chat_reflct_rmsprop_iter1
Base Model(s)	Deepseek Llm 7B Chat deepseek-ai/deepseek-llm-7b-chat
Model Size	7b
Required VRAM	13.9 GB
Updated	2024-12-05
Maintainer	yiran-wang3
Model Type	llama
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 3.9 GB: 3-of-3 0.0 GB
Model Architecture	LlamaForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.45.0
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	102400
Torch Data Type	bfloat16

Rank the Ds Chat Reflct Rmsprop Iter1 capabilities

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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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124	1024K / 16.1 GB	93
162	1024K / 16.1 GB	60
157	1024K / 16.1 GB	101
118	1024K / 16.1 GB	15
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A3.4	1024K / 16.1 GB	13
A2.4	1024K / 16.1 GB	12
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Note: green Score (e.g. "73.2") means that the model is better than yiran-wang3/ds_chat_reflct_rmsprop_iter1.