What are the hardware requirements for Ds Chat Pos Reflct Adamw Iter2?

Ds Chat Pos Reflct Adamw Iter2 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 Pos Reflct Adamw Iter2 and how large is it?

Ds Chat Pos Reflct Adamw Iter2 is developed by yiran-wang3, a model with 6.9b 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 Pos Reflct Adamw Iter2?

Ds Chat Pos Reflct Adamw Iter2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ds Chat Pos Reflct Adamw Iter2 by yiran-wang3 — VRAM 13.9GB, 4K context

Name: Ds Chat Pos Reflct Adamw Iter2
Author: yiran-wang3

Ds Chat Pos Reflct Adamw Iter2 is an open-source language model by yiran-wang3. Features: 6.9b LLM, VRAM: 13.9GB, Context: 4K, License: other, LLM Explorer Score: 0.15.

Alignment-handbook Autotrain compatible Base model:finetune:yiran-wang... Base model:yiran-wang3/ds chat... Conversational Dataset:self-generate/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_pos_reflct_adamw_iter2

Ds Chat Pos Reflct Adamw Iter2 Parameters and Internals

LLM Name	Ds Chat Pos Reflct Adamw Iter2
Repository 🤗	https://huggingface.co/yiran-wang3/ds_chat_pos_reflct_adamw_iter2
Base Model(s)	Ds Chat Pos Reflct Adamw Iter1 yiran-wang3/ds_chat_pos_reflct_adamw_iter1
Model Size	6.9b
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 Pos Reflct Adamw Iter2 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

Best Alternatives to Ds Chat Pos Reflct Adamw Iter2

Best Alternatives	Context / RAM	Downloads	Likes
Bolna Lead Qualification	16K / 13.8 GB	6	3
Sambanova Llama2 100	4K / 13.9 GB	5	0
Mymath Merged 01	4K / 13.9 GB	6	0
Gorilla Finetuned	4K / 13.8 GB	8	0
STP Model Lean 0320	4K / 13.8 GB	150	1
Deep Neural V1	4K / 27.7 GB	65	0
ProofSeeker V1	4K / 13.9 GB	25	0
...j Pair8 Ds Coder Rmsprop Iter4	4K / 13.9 GB	145	0
... Ds Coder Reflct Rmsprop Iter4	4K / 13.9 GB	105	0
...8 Ds Chat Reflct Rmsprop Iter2	4K / 13.9 GB	87	0

Note: green Score (e.g. "73.2") means that the model is better than yiran-wang3/ds_chat_pos_reflct_adamw_iter2.