Create README.md

README.md

@@ -1,39 +1,5 @@
 ---
 license: llama2
 language:
-  - en
-tags:
-  - not-for-all-audiences
----
-
-# Venus 120b - version 1.0
-
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/655febd724e0d359c1f21096/BSKlxWQSbh-liU8kGz4fF.png)
-
-## Overview
-
-The goal was to create a large model that's highly capable for RP/ERP scenarios. Goliath-120b is excellent for roleplay, and Venus-120b was created with the idea of attempting to mix more than two models together to see how well this method works.
-
-## Model Details
-
-- A result of interleaving layers of [Sao10K/Euryale-1.3-L2-70B](https://huggingface.co/Sao10K/Euryale-1.3-L2-70B), [NousResearch/Nous-Hermes-Llama2-70b](https://huggingface.co/NousResearch/Nous-Hermes-Llama2-70b), and [migtissera/SynthIA-70B-v1.5](https://huggingface.co/migtissera/SynthIA-70B-v1.5) using [mergekit](https://github.com/cg123/mergekit).
-- The resulting model has 140 layers and approximately 122 billion parameters.
-- See mergekit-config.yml for details on the merge method used.
-- See the `exl2-*` branches for exllama2 quantizations. The 4.85 bpw quant should fit in 80GB VRAM, and the 3.0 bpw quant should (just barely) fit in 48GB VRAM with 4k context.
-- Inspired by [Goliath-120b](https://huggingface.co/alpindale/goliath-120b)
-
-**Warning: This model will produce NSFW content!**
-
-## Results
-
-Initial tests show that Venus-120b functions fine, overall it seems to be comparable to Goliath-120b. Some differences I noticed:
-1. Venus needs lower temperature settings than Goliath. I recommend a temp of around 0.7, and no higher than 1.0.
-2. Venus tends to, on average, produce longer responses than Goliath. Probably due to the inclusion of SynthIA in the merge, which is trained to produce long chain-of-thought responses.
-3. Venus seems to be a bit less creative than Goliath when it comes to the prose it generates. Probably due to the lack of Xwin and the inclusion of Nous-Hermes.
-
-Keep in mind this is all anecdotal from some basic tests. The key takeaway is that Venus shows that Goliath is not a fluke.
-
-## Other quants:
-
-- 4.5 bpw exl2 quant provided by Panchovix: https://huggingface.co/Panchovix/Venus-120b-v1.0-4.5bpw-h6-exl2
-- 4.25 bpw exl2 quant provided by Panchovix: https://huggingface.co/Panchovix/Venus-120b-v1.0-4.25bpw-h6-exl2
+- en
+---

config.json

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-{
-  "_name_or_path": "Sao10K/Euryale-1.3-L2-70B",
-  "architectures": [
-    "LlamaForCausalLM"
-  ],
-  "attention_bias": false,
-  "bos_token_id": 1,
-  "eos_token_id": 2,
-  "hidden_act": "silu",
-  "hidden_size": 8192,
-  "initializer_range": 0.02,
-  "intermediate_size": 28672,
-  "max_position_embeddings": 4096,
-  "model_type": "llama",
-  "num_attention_heads": 64,
-  "num_hidden_layers": 140,
-  "num_key_value_heads": 8,
-  "pretraining_tp": 1,
-  "rms_norm_eps": 1e-05,
-  "rope_scaling": null,
-  "rope_theta": 10000.0,
-  "tie_word_embeddings": false,
-  "torch_dtype": "float16",
-  "transformers_version": "4.35.2",
-  "use_cache": true,
-  "vocab_size": 32000
-}

mergekit-config.yml

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-slices:
-  - sources:
-      - model: Sao10K/Euryale-1.3-L2-70B
-        layer_range: [0, 20]
-  - sources:
-      - model: NousResearch/Nous-Hermes-Llama2-70b
-        layer_range: [10, 30]
-  - sources:
-      - model: migtissera/SynthIA-70B-v1.5
-        layer_range: [20, 40]
-  - sources:
-      - model: Sao10K/Euryale-1.3-L2-70B
-        layer_range: [30, 50]
-  - sources:
-      - model: migtissera/SynthIA-70B-v1.5
-        layer_range: [40, 60]
-  - sources:
-      - model: NousResearch/Nous-Hermes-Llama2-70b
-        layer_range: [50, 70]
-  - sources:
-      - model: Sao10K/Euryale-1.3-L2-70B
-        layer_range: [60, 80]
-merge_method: passthrough
-dtype: float16

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special_tokens_map.json

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-{
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tokenizer.model

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-oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
-size 499723

tokenizer_config.json

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-{
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