alt.freeweights.text / magnum-v4-72b
From: anthracite-org <huggingface.co/anthracite-org>Newsgroups: alt.freeweights.textSubject:

magnum-v4-72b

Date: 2026-11-15Commit: 3ea7aecSigned: 2DC28CC7B26A283B ✓

Text generation model with 72.7B parameters. Safetensors weights, 145 GB in all. Published by anthracite-org under Apache-2.0.

72.7B params145GBmagnum-v4-72bsafetensorspermissive
FactsParams72.7BSize145 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive
$ fw get anthracite-org/magnum-v4-72b
# manifest sha256 13c222f94e3d… · 145 GB · 41 files
$ fw verify ./magnum-v4-72b anthracite-org/magnum-v4-72b
From sourceHosted (signed)anthracite-org/magnum-v4-72bLast check: 2026-11-15 03:35 UTC

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

Works with

Overview

Size
145 GB
Weights
145 GB (safetensors)
Parameters
72.7B
Formats
safetensors
Task
text generation
License
Apache-2.0 (permissive)
Files
41, each with a sha256
Publisher
anthracite-org
Added
2026-11-15
Section
alt.freeweights.text
Lineage

Original release from the publisher.

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 03:35 UTCpassed

Model card

From the publisher at commit 3ea7aec. Shown as plain text with links; images open at the publisher.

Image: image/png

This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet and Opus.

experimental because trained on top of instruct; but turned out amazing; hence code named magnum-alter, the original model that kickstarted the v4 family

This model is fine-tuned on top of Qwen2.5-72B-Instruct.

Prompting#

A typical input would look like this:

<|im_start|>system
system prompt<|im_end|>
<|im_start|>user
Hi there!<|im_end|>
<|im_start|>assistant
Nice to meet you!<|im_end|>
<|im_start|>user
Can I ask a question?<|im_end|>
<|im_start|>assistant

SillyTavern templates#

Below are Instruct and Context templates for use within SillyTavern.

context template

{
  "story_string": "<|im_start|>system\n{{#if system}}{{system}}\n{{/if}}{{#if wiBefore}}{{wiBefore}}\n{{/if}}{{#if description}}{{description}}\n{{/if}}{{#if personality}}{{char}}'s personality: {{personality}}\n{{/if}}{{#if scenario}}Scenario: {{scenario}}\n{{/if}}{{#if wiAfter}}{{wiAfter}}\n{{/if}}{{#if persona}}{{persona}}\n{{/if}}{{trim}}<|im_end|>\n",
  "example_separator": "",
  "chat_start": "",
  "use_stop_strings": false,
  "allow_jailbreak": false,
  "always_force_name2": true,
  "trim_sentences": false,
  "include_newline": false,
  "single_line": false,
  "name": "Magnum ChatML"
}

instruct template

{
  "system_prompt": "Currently, your role is {{char}}, described in detail below. As {{char}}, continue the narrative exchange with {{user}}.\n\n<Guidelines>\n• Maintain the character persona but allow it to evolve with the story.\n• Be creative and proactive. Drive the story forward, introducing plotlines and events when relevant.\n• All types of outputs are encouraged; respond accordingly to the narrative.\n• Include dialogues, actions, and thoughts in each response.\n• Utilize all five senses to describe scenarios within {{char}}'s dialogue.\n• Use emotional symbols such as "!" and "~" in appropriate contexts.\n• Incorporate onomatopoeia when suitable.\n• Allow time for {{user}} to respond with their own input, respecting their agency.\n• Act as secondary characters and NPCs as needed, and remove them when appropriate.\n• When prompted for an Out of Character [OOC:] reply, answer neutrally and in plaintext, not as {{char}}.\n</Guidelines>\n\n<Forbidden>\n• Using excessive literary embellishments and purple prose unless dictated by {{char}}'s persona.\n• Writing for, speaking, thinking, acting, or replying as {{user}} in your response.\n• Repetitive and monotonous outputs.\n• Positivity bias in your replies.\n• Being overly extreme or NSFW when the narrative context is inappropriate.\n</Forbidden>\n\nFollow the instructions in <Guidelines></Guidelines>, avoiding the items listed in <Forbidden></Forbidden>.",
  "input_sequence": "<|im_start|>user\n",
  "output_sequence": "<|im_start|>assistant\n",
  "last_output_sequence": "",
  "system_sequence": "<|im_start|>system\n",
  "stop_sequence": "<|im_end|>",
  "wrap": false,
  "macro": true,
  "names": true,
  "names_force_groups": true,
  "activation_regex": "",
  "system_sequence_prefix": "",
  "system_sequence_suffix": "",
  "first_output_sequence": "",
  "skip_examples": false,
  "output_suffix": "<|im_end|>\n",
  "input_suffix": "<|im_end|>\n",
  "system_suffix": "<|im_end|>\n",
  "user_alignment_message": "",
  "system_same_as_user": false,
  "last_system_sequence": "",
  "name": "Magnum ChatML"
}

Axolotl config#

See axolotl config

base_model: /workspace/data/models/Qwen2.5-72B-Instruct
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer

plugins:
  - axolotl.integrations.liger.LigerPlugin
liger_rope: true
liger_rms_norm: true
liger_swiglu: true
liger_fused_linear_cross_entropy: true

load_in_8bit: false
load_in_4bit: false
strict: false

datasets:
  - path: anthracite-org/c2_logs_32k_llama3_qwen2_v1.2
    type: sharegpt
    conversation: chatml
  - path: anthracite-org/kalo-opus-instruct-22k-no-refusal
    type: sharegpt
    conversation: chatml
  - path: lodrick-the-lafted/kalo-opus-instruct-3k-filtered
    type: sharegpt
    conversation: chatml
  - path: anthracite-org/nopm_claude_writing_fixed
    type: sharegpt
    conversation: chatml
  - path: anthracite-org/kalo_opus_misc_240827
    type: sharegpt
    conversation: chatml
  - path: anthracite-org/kalo_misc_part2
    type: sharegpt
    conversation: chatml
#chat_template: chatml
shuffle_merged_datasets: true
#default_system_message: "You are an assistant that responds to the user."
dataset_prepared_path: /workspace/data/magnum-72b-data
val_set_size: 0.0
output_dir: /workspace/data/72b-fft-out

sequence_len: 32768
sample_packing: true
pad_to_sequence_len: true

adapter:
lora_model_dir:
lora_r:
lora_alpha:
lora_dropout:
lora_target_linear:
lora_fan_in_fan_out:

wandb_project: 72b-magnum-fft
wandb_entity:
wandb_watch:
wandb_name: alter-attempt-01
wandb_log_model:

gradient_accumulation_steps: 2
micro_batch_size: 1
num_epochs: 2
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.000004

train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false

gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true

warmup_steps: 40
evals_per_epoch:
eval_table_size:
eval_max_new_tokens:
saves_per_epoch: 2
debug:
deepspeed: deepspeed_configs/zero3_bf16.json
weight_decay: 0.01
fsdp:
fsdp_config:
special_tokens:

Credits#

We'd like to thank DoctorShotgun for sponsoring the compute for this train. We would also like to thank all members of Anthracite who made this finetune possible.

Datasets#

Training#

We used 8x mi300x GPUs graciously provided by DoctorShotgun for the full-parameter fine-tuning of the model.

Built with Axolotl

Safety#

...

Files

41 files · 145 GBWeights 145 GB (safetensors). Sizes and sha256 from the signed manifest.
Show all 41 files with their sha256
FileSizesha256
.gitattributes1.52 KB11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361
README.md7.57 KB9b70397c2c275bdf3a6241ceaddf91cd46a93243f4bd88cccc51f54b071bb1a4
config.json702 B717566f095c4bba036135bcdd1ee86086cb2764722ce56149f307ba3a0109271
generation_config.json243 Bcdadfe09574e88314d6e912a94c8ac07deba412f365006fe1652a249f346e489
merges.txt1.67 MB8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
model-00001-of-00031.safetensors4.55 GB9d20b76f30e1bcaf35de70a98b6802ede7c4a47079d5c09edfbb0d30c9d9630d
model-00002-of-00031.safetensors4.96 GB893753de3519b2f4a21405b8185620b10bdfe1f6754c0d649763458a0caecc70
model-00003-of-00031.safetensors4.78 GBf321ea16e3b019c734ceed26431c2a2bdf0ba7887e36b2a9a945cfbaa4a4fc17
model-00004-of-00031.safetensors4.78 GB4126c3622743e519249d8815ae60e15161d6ebb7c4a19576441d145b364ce23b
model-00005-of-00031.safetensors4.78 GBf0064c7a9d27e014737f5c8eb308e1f7c8a049cb597fefc22576358bafdce328
model-00006-of-00031.safetensors4.96 GB0ddb258a90f2110c25d5d6b99c4fe1f07e90701092d5fa59fa7c76a39ae024d4
model-00007-of-00031.safetensors4.78 GB18ded837ff9c17e529e15ba822b913b0da76bb7fae4e7fd9a9f441072cd136c0
model-00008-of-00031.safetensors4.78 GB8898ed1e8a43858d92599b0f24ae46bdba4147fd8c1027e609fdc19dcc018604
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model-00011-of-00031.safetensors4.78 GB4bfc49d3a4354bd5a6839967f911997036ee59c36515c84381598e80bd49712b
model-00012-of-00031.safetensors4.78 GBfca09b71bd0a6ef199a67f058d1505b7c63202e93bbabe8987f8b9b2c0c8ef8b
model-00013-of-00031.safetensors4.78 GB21d67be7c6f1a3c3013eb88aa47baa4ae5d76f86ef4112726f5f655c600b8710
model-00014-of-00031.safetensors4.96 GBca2ced867fbcb93a5d9762af527121a41aba54539e2d3e95f030d4f25db4f1cc
model-00015-of-00031.safetensors4.78 GBbdaf95264e010c994dc90efed9de0dafc7e268153170ce80bda5211ee8be938c
model-00016-of-00031.safetensors4.78 GB4e66f24e3ec8f0e0048768b13d226d69942fd6c26cde392eaf4ebe51a8484136
model-00017-of-00031.safetensors4.78 GB7faf1e1508a8c99e84d8ca4c23234a29e66588beddafd93bdc0c76749bafd9e6
model-00018-of-00031.safetensors4.96 GB8c9226911f3795df67628a58261b554f8f824d8cfad9557ccd8944ee6bbb69f9
model-00019-of-00031.safetensors4.78 GB0028438fbcc1ecca3e4efadd0353179990be4170b66b68372c57c44099252f31
model-00020-of-00031.safetensors4.78 GBd62707bdbd177f82cf872ee08c7f232847cffd99924f5dfc275452de51ccca6c
model-00021-of-00031.safetensors4.78 GBb88bfcc6b1f85ea4f16aec59281891e712f6d4213caa9c87050b06b2864ac123
model-00022-of-00031.safetensors4.96 GB846c4c8062fa91e83b0e69c9b1e72cfd571aeff9867b182451a8f8e7f487fb14
model-00023-of-00031.safetensors4.78 GBc8c9ba679fbf49847b116e0b750f5891bcba52de3a78948ee9a2eabd0b59cca2
model-00024-of-00031.safetensors4.78 GB604e9afb7ae27025e82f433ee30446423ba60e2a44a06b4796fb5f102f844966
model-00025-of-00031.safetensors4.78 GB4f52dc06d991d84060eb497fe23010626a5cc83987f3d8cf3e9f3ba520af892e
model-00026-of-00031.safetensors4.96 GBed2923117662f6f2eeda72d527a04684d4eaa6b81f169055ceceeb53ce8f8690
model-00027-of-00031.safetensors4.78 GB7a10eaf12763445ee164390fda4a6d6aae1aed2a9cc27a7192b3b7437485db37
model-00028-of-00031.safetensors4.78 GB4614c30c77baee24650d4fbfeb80f283d0f5c12e70ba509f0f95d254c09538c8
model-00029-of-00031.safetensors4.78 GBbf5b3c59dc5c8e074cccfad3694397b1bc52448ce9a925c4cba1834832ddc373
model-00030-of-00031.safetensors3.21 GB3e410d81428fcba511771e1734c622d5aeb2833e5aae1a3802faf4ddf7b357b4
model-00031-of-00031.safetensors2.49 GB527d11d36a775333cb36c0b5225840782158e2192bb5cfcb1cb88b764aaa69c6
model.safetensors.index.json79.0 KBa1b2faa7a18678ae6b7a633f3b7b39df1390b48c7ce2bde9bb74509cb1d7a4e3
special_tokens_map.json613 B76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json7.03 MBa8506e7111b80c6d8635951a02eab0f4e1a8e4e5772da83846579e97b16f61bf
tokenizer_config.json7.31 KBf7c61e32b7a17d19bf8e7037dcb74079a833e53ea9801f24008cac68458f03b7
vocab.json2.78 MBca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
3ea7aecd09 pinned now2026-11-15 03:35 UTC41 files · 145 GB

Use it

$ fw get anthracite-org/magnum-v4-72b
# manifest sha256 13c222f94e3d… · 145 GB · 41 files
$ fw verify ./magnum-v4-72b anthracite-org/magnum-v4-72b
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/anthracite-org/magnum-v4-72b.json --dir ./magnum-v4-72b $ python3 fw.py verify ./magnum-v4-72b ./anthracite-org__magnum-v4-72b.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download anthracite-org/magnum-v4-72b --revision 3ea7aecd096b6323fcc4c01c6cef11364c75e6b5 --local-dir ./magnum-v4-72b
transformersLoad the weights in Python.
import os os.environ["HF_ENDPOINT"] = "https://freeweights.allternit.com" from transformers import AutoModelForCausalLM, AutoTokenizer tok = AutoTokenizer.from_pretrained("anthracite-org/magnum-v4-72b", revision="3ea7aecd096b6323fcc4c01c6cef11364c75e6b5") model = AutoModelForCausalLM.from_pretrained("anthracite-org/magnum-v4-72b", revision="3ea7aecd096b6323fcc4c01c6cef11364c75e6b5", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve anthracite-org/magnum-v4-72b --revision 3ea7aecd096b6323fcc4c01c6cef11364c75e6b5

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
9b70397c2c275bdf3a6241ceaddf91cd46a93243f4bd88cccc51f54b071bb1a4
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: anthracite-org <huggingface.co/anthracite-org>Newsgroups: alt.freeweights.textSubject: magnum-v4-72bDate: 2026-11-15Commit: 3ea7aecSigned: 2DC28CC7B26A283B ✓
Upstream
anthracite-org/magnum-v4-72b
Pinned commit
3ea7aecd096b6323fcc4c01c6cef11364c75e6b5
Manifest
magnum-v4-72b.json · .minisig
Manifest sha256
13c222f94e3d0ccc8270208534d525dc9ffa871bfb0ae288707649ff5aa2ac1d
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 03:35 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/anthracite-org/magnum-v4-72b.json $ curl -O https://freeweights.allternit.com/manifests/anthracite-org/magnum-v4-72b.json.minisig $ minisign -Vm magnum-v4-72b.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

2 models in the catalog name this one as their parent.

Quantizations
2
Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download anthracite-org/magnum-v4-72b
Open in Freeweights Studio

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

Signed manifest
minisign, key 2DC28CC7B26A283B. magnum-v4-72b.json. Provenance. Takedown history: none.

Variants

2 quantized or adapter builds of magnum-v4-72b. 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