alt.freeweights.text / Arcee-Maestro-7B-Preview
From: arcee-ai <huggingface.co/arcee-ai>Newsgroups: alt.freeweights.textSubject:

Arcee-Maestro-7B-Preview

Date: 2026-11-15Commit: dc3ee7bSigned: 2DC28CC7B26A283B ✓

Text generation model with 7.6B parameters. Safetensors weights, 15.2 GB in all. Published by arcee-ai under Apache-2.0.

7.6B params15.2GBArcee-Maestro-7B-Previewsafetensorspermissive
FactsParams7.6BSize15.2 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive
$ fw get arcee-ai/Arcee-Maestro-7B-Preview
# manifest sha256 fa9526ee4899… · 15.2 GB · 11 files
$ fw verify ./Arcee-Maestro-7B-Preview arcee-ai/Arcee-Maestro-7B-Preview
From sourceHosted (signed)arcee-ai/Arcee-Maestro-7B-PreviewLast check: 2026-11-15 03:32 UTC

Get help: custom fine-tune or private deploy. We review your setup before we quote.

Fine-tune of DeepSeek-R1-Distill-Qwen-7B.

Works with

Overview

Size
15.2 GB
Weights
15.2 GB (safetensors)
Parameters
7.6B
Formats
safetensors
Task
text generation
License
Apache-2.0 (permissive)
Files
11, each with a sha256
Publisher
arcee-ai
Added
2026-11-15
Section
alt.freeweights.text
Lineage

Original release from the publisher.

Base model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B

Where these bytes come from
Publisher at the pinned commit→You

Sources are tried in order. A file counts only when its size and sha256 match the manifest. Sources are checked when you ask for them, not on a timer.

Sources
BadgeHostLast checkResult
From sourcehuggingface.co2026-11-15 03:32 UTCpassed

Model card

From the publisher at commit dc3ee7b. Shown as plain text with links; images open at the publisher.

Arcee-Maestro-7B-Preview (7B) is Arcee's first reasoning model trained with reinforment learning. It is based on the Qwen2.5-7B DeepSeek-R1 distillation DeepSeek-R1-Distill-Qwen-7B with further GRPO training. Though this is just a preview of our upcoming work, it already shows promising improvements to mathematical and coding abilities across a range of tasks.

Quantizations#

GGUF quants available here

AWQ quants available here

Model Details#
  • Architecture Base: DeepSeek-R1-Distill-Qwen-7B (Qwen2.5-7B)
  • Parameter Count: 7B
  • Reinforcement Learning: GRPO with 450,000 verified math problems with some coding examples
  • License: Apache-2.0
Intended Use Cases#
  • Advanced reasoning
  • Mathematics
  • Coding
Evaluations#

Image: image/png

Arcee Maestro 7B preview shows great gains in mathematics and coding, surpassing O1 preview in many metrics.

How to use#

Below is a sample code snippet using transformers:

from transformers import AutoTokenizer, AutoModelForCausalLM

model_name = "arcee-ai/Arcee-Maestro-7B-Preview"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

prompt = "Provide a concise summary of quantum entanglement."
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=150)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
Training & Fine-Tuning#
  • Initial Training: Began with DeepSeek-R1-Distill-Qwen-7B
  • GRPO:
    • Trained on 450,000 verified math problems
    • Additional bootstrapped coding examples
Performance#

Arcee-Maestro-7B-Preview shows strong performance in mathematics as well as coding, competing against even O1 preview, a model far surprassing its size.

Limitations#
  • Context Length: 128k Tokens (may vary depending on the final tokenizer settings and system resources).
  • Knowledge Cut-off: Training data may not reflect the latest events or developments beyond June 2024.
Ethical Considerations#
  • Content Generation Risks: Like any language model, Arcee-Maestro-7B-Preview can generate potentially harmful or biased content if prompted in certain ways.
License#

Arcee-Maestro-7B-Preview (7B) is released under the Apache-2.0 License. You are free to use, modify, and distribute this model in both commercial and non-commercial applications, subject to the terms and conditions of the license.

If you have questions or would like to share your experiences using Arcee-Maestro-7B-Preview (7B), please connect with us on social media. We’re excited to see what you build—and how this model helps you innovate!

Files

11 files · 15.2 GBWeights 15.2 GB (safetensors). Sizes and sha256 from the signed manifest.
Hide all 11 files with their sha256
FileSizesha256
.gitattributes1.57 KB34448b82c17d60fec9b65b1f093c115ddbaadc04beb1b0140b6bfed2e012a930
README.md3.13 KB5d7882762d59146c38f97835a0e1b40ab62343c7c4af4df5643f24a035258221
config.json766 B8ac9caebc28ca423ed6560feaedf297335ae3714ca1701bb6e3d6f511504885d
model-00001-of-00004.safetensors4.90 GBe38fcbede641817cb8c7dc7d4e2551d9066eb586a979d8957a49156ee2ccb2a0
model-00002-of-00004.safetensors4.95 GBc9366406b63bdd5d3056fbb348913bccdd8f4cfd1a4e6bca963245ffd30193bd
model-00003-of-00004.safetensors4.89 GBeb9f7b088beec87d9b1388c47eb97f8240e6394ea7687b2f246400d2e2422be6
model-00004-of-00004.safetensors484 MBbe149fd2e84107b199f2528f66b745c7682523c46391b5b36b5571e827556999
model.safetensors.index.json26.4 KB2ee1e2704bdb786617af0449eefd37bbfe81a2aa45a3ac51d9deb23722db5cbf
special_tokens_map.json485 B59cda48bbe8bab9d61ffb410e6e3c07b6d98bff73cee7c88ff8b51f95f21ab1c
tokenizer.json11.4 MBe20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
tokenizer_config.json6.76 KBd9125f504eea1bb56c8bb7cfa32ae9b782ab8e0fc59a5cd58d1ef7728fb61273
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
dc3ee7b5dd pinned now2026-11-15 03:32 UTC11 files · 15.2 GB

Use it

$ fw get arcee-ai/Arcee-Maestro-7B-Preview
# manifest sha256 fa9526ee4899… · 15.2 GB · 11 files
$ fw verify ./Arcee-Maestro-7B-Preview arcee-ai/Arcee-Maestro-7B-Preview
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/arcee-ai/Arcee-Maestro-7B-Preview.json --dir ./Arcee-Maestro-7B-Preview $ python3 fw.py verify ./Arcee-Maestro-7B-Preview ./arcee-ai__Arcee-Maestro-7B-Preview.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download arcee-ai/Arcee-Maestro-7B-Preview --revision dc3ee7b5dd2be00e7d2f5aaedb3212a5c183176b --local-dir ./Arcee-Maestro-7B-Preview
transformersLoad the weights in Python.
import os os.environ["HF_ENDPOINT"] = "https://freeweights.allternit.com" from transformers import AutoModelForCausalLM, AutoTokenizer tok = AutoTokenizer.from_pretrained("arcee-ai/Arcee-Maestro-7B-Preview", revision="dc3ee7b5dd2be00e7d2f5aaedb3212a5c183176b") model = AutoModelForCausalLM.from_pretrained("arcee-ai/Arcee-Maestro-7B-Preview", revision="dc3ee7b5dd2be00e7d2f5aaedb3212a5c183176b", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve arcee-ai/Arcee-Maestro-7B-Preview --revision dc3ee7b5dd2be00e7d2f5aaedb3212a5c183176b

License

Name
Apache License 2.0
Id
Apache-2.0
Class
Permissive
Redistribution
yes
Listing
Hosted (signed)
Decided
License as declared by the publisher. No person read it. 2026-11-15
Text in
README.md
Text sha256
5d7882762d59146c38f97835a0e1b40ab62343c7c4af4df5643f24a035258221
Terms gate
No extra terms beyond the license.

Read the license text

Licenses are checked against the license table. A custom license passes only after a person reads it.

Provenance

From: arcee-ai <huggingface.co/arcee-ai>Newsgroups: alt.freeweights.textSubject: Arcee-Maestro-7B-PreviewDate: 2026-11-15Commit: dc3ee7bSigned: 2DC28CC7B26A283B ✓
Upstream
arcee-ai/Arcee-Maestro-7B-Preview
Pinned commit
dc3ee7b5dd2be00e7d2f5aaedb3212a5c183176b
Manifest
Arcee-Maestro-7B-Preview.json · .minisig
Manifest sha256
fa9526ee4899fc25688e8380a9de38a814ba95c8a4351d8672bf8de483ec06ee
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 03:32 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/arcee-ai/Arcee-Maestro-7B-Preview.json $ curl -O https://freeweights.allternit.com/manifests/arcee-ai/Arcee-Maestro-7B-Preview.json.minisig $ minisign -Vm Arcee-Maestro-7B-Preview.json -P RWQ7KGqyx4zCLXtUFOqvfv8L3g+8fpKJ1FsuxPyOYMF+4KufbUxKq1Oq $ shasum -a 256 <file> # compare with the Files tab

A manifest whose signature fails must be rejected. A file whose size or sha256 does not match must be discarded. Verify a download

Model tree

Parent

deepseek-ai/DeepSeek-R1-Distill-Qwen-7B · this model is a finetune of it

1 model in the catalog name this one as their parent.

Quantizations
1
Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download arcee-ai/Arcee-Maestro-7B-Preview
Open in Freeweights Studio

Pull, verify and run it in the Allternit app on Desktop, web or phone.

Signed manifest
minisign, key 2DC28CC7B26A283B. Arcee-Maestro-7B-Preview.json. Provenance. Takedown history: none.

Variants

1 quantized or adapter build of Arcee-Maestro-7B-Preview. Each has its own license check and page.

From: laion <huggingface.co/laion>Subject: a2-rl-e2egit_large-50-32B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_e2egit-large-15-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_e2egit-v2-10-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_pymethods2test-large-80-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_unitsyn-python-large-10-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_mix_h2_language_proportional-65-8B