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Browse files- README.md +47 -5
- config.json +38 -0
- huggingface-metadata.txt +21 -0
- measurement.json +0 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00006.safetensors +3 -0
- output-00002-of-00006.safetensors +3 -0
- output-00003-of-00006.safetensors +3 -0
- output-00004-of-00006.safetensors +3 -0
- output-00005-of-00006.safetensors +3 -0
- output-00006-of-00006.safetensors +3 -0
- recipe.txt +26 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
README.md
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---
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license: other
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license_name: mrl
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---
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license: other
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license_name: mrl
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language:
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- en
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tags:
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- chat
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pipeline_tag: text-generation
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library_name: transformers
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---
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# Monstral 123B v2
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A Mistral-Large merge
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This model is a hybrid merge of Behemoth 1.2, Tess, and Magnum V4. The intention was to do a three-way slerp merge, which is technically
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not possible. To simulate the effeect of a menage-a-slerp, I slerped B1.2 with tess, then separately did B1.2 with magnum. I then did a
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model stock merge of those two slerps using B1.2 as the base. Somehow, it worked out spectacularly well. Sometimes dumb ideas pay off.
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Mergefuel:
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- TheDrummer/Behemoth-123B-v1.2
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- anthracite-org/magnum-v4-123b
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- migtissera/Tess-3-Mistral-Large-2-123B
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See recipe.txt for full details.
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Improvements over Monstral v1: Drummer's 1.2 tune of behemoth is a marked improvement over the original, and the addition ot tess to the
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mix really makes the creativity pop. I seem to have dialed out the rapey magnum influence, without stripping it of the ability to get mean
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and/or dirty when the situation actually calls for it. The RP output of this model shows a lot more flowery and "literary" description of
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scenes and activities. It's more colorful and vibrant. Repitition is dramatically reduced, as is slop (though to a lesser extent). The
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annoying tendency to double-describe things with "it was X, almost Y" is virtually gone. Do you like a slow-burn story that builds over
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time? Well good fucking news, because v2 excels at that.
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The only complaint I've received is occasional user impersonation with certain cards. I've not seen this myself on any of my cards, so I
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have to assume it's down to the specific formatting on specific cards. I don't want to say it's a skill issue, but...
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This model is uncensored and perfectly capable of generating objectionable material. I have not observed it injecting NSFW content into
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SFW scenarios, but no guarentees can be made. As with any LLM, no factual claims made by the model should be taken at face value. You
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know that boilerplate safety disclaimer that most professional models have? Assume this has it too. This model is for entertainment
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purposes only.
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GGUFs: https://huggingface.co/MarsupialAI/Monstral-123B-v2_GGUF
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# Prompt Format
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Metharme seems to work flawlessly. In theory, mistral V3 or possibly even chatml should work to some extent, but meth was providing such
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high quality output that I couldn't even be bothered to test the others. Just do meth, kids.
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config.json
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{
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"_name_or_path": "I:\\raw\\behemoth12",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 12288,
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"initializer_range": 0.02,
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"intermediate_size": 28672,
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"max_position_embeddings": 131072,
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"model_type": "mistral",
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"num_attention_heads": 96,
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"num_hidden_layers": 88,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.46.1",
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"use_cache": true,
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"vocab_size": 32768,
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"quantization_config": {
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"quant_method": "exl2",
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"version": "0.2.6",
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"bits": 3.0,
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"head_bits": 8,
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"calibration": {
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"rows": 115,
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"length": 2048,
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"dataset": "(default)"
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}
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}
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}
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huggingface-metadata.txt
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url: https://huggingface.co/MarsupialAI/Monstral-123B-v2
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branch: main
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download date: 2025-01-05 08:35:45
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sha256sum:
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measurement.json
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model.safetensors.index.json
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---
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---
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tokenizer.model
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