What are the hardware requirements for XDAN L1 Chat RL V1 AWQ?

XDAN L1 Chat RL V1 AWQ requires approximately 4.2 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 XDAN L1 Chat RL V1 AWQ and how large is it?

XDAN L1 Chat RL V1 AWQ is developed by TheBloke, a model with 7.2b 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 XDAN L1 Chat RL V1 AWQ?

XDAN L1 Chat RL V1 AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

XDAN L1 Chat RL V1 AWQ by TheBloke — VRAM 4.2GB, 32K context

Name: XDAN L1 Chat RL V1 AWQ
Author: TheBloke

XDAN L1 Chat RL V1 AWQ is an open-source language model by TheBloke. Features: 7.2b LLM, VRAM: 4.2GB, Context: 32K, License: cc-by-4.0, Quantized, LLM Explorer Score: 0.1.

4-bit Awq Base model:quantized:xdan-ai/x... Base model:xdan-ai/xdan-l1-cha... Dataset:intel/orca dpo pairs Dataset:open-orca/openorca Dpo En Mistral Openorca Quantized Region:us Safetensors Self-think Xdan-ai

Model Card on HF 🤗: https://huggingface.co/TheBloke/xDAN-L1-Chat-RL-v1-AWQ

XDAN L1 Chat RL V1 AWQ Parameters and Internals

Model Type

mistral

Use Cases

Areas:

research, commercial applications

Limitations:

risk of the model producing problematic outputs

Considerations:

Users should be aware of potential risks

Additional Notes

The model was quantized using AWQ for efficient computation, especially on NVidia GPUs.

Supported Languages

en (high)

Training Details

Data Sources:

Open-Orca/OpenOrca, Intel/orca_dpo_pairs, Privately Crafted Dataset

Methodology:

SFT with Mixed dataset from OpenOrca and Next DPO Training method by xDAN-AI

Context Length:

4096

Input Output

Input Format:

Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:

Accepted Modalities:

text

Output Format:

text

LLM Name	XDAN L1 Chat RL V1 AWQ
Repository 🤗	https://huggingface.co/TheBloke/xDAN-L1-Chat-RL-v1-AWQ
Model Name	xDAN L1 Chat RL v1
Model Creator	xDAN-AI
Base Model(s)	XDAN L1 Chat RL V1 xDAN-AI/xDAN-L1-Chat-RL-v1
Model Size	7.2b
Required VRAM	4.2 GB
Updated	2026-08-06
Maintainer	TheBloke
Model Type	mistral
Model Files	4.2 GB
Supported Languages	en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	MistralForCausalLM
License	cc-by-4.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the XDAN L1 Chat RL V1 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 XDAN L1 Chat RL V1 AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Feedback Wizard 4bit AWQ	32K / 4.2 GB	6	0
Ryze AWQ 4bit	32K / 4.2 GB	5	0
...V3 Plot Chat Roleplay Chat AWQ	32K / 4.2 GB	7	0
...lot Engine Step Json Short AWQ	32K / 4.2 GB	5	0
MistralLite AWQ	32K / 4.2 GB	27	6
LemonadeRP 4.5.3 AWQ	32K / 4.2 GB	5	0
Functionary Small V2.4 AWQ	32K / 4.2 GB	1	1
Hc Mistral Alpaca Merged AWQ	32K / 4.2 GB	5	0
Garrulus AWQ	32K / 4.2 GB	7	2
HamSter 0.1 AWQ	32K / 4.2 GB	5	2

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/xDAN-L1-Chat-RL-v1-AWQ.