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README.md CHANGED
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- ---
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- license: apache-2.0
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- tags:
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- - mistral
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- - conversational
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- - text-generation-inference
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- base_model:
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- - UsernameJustAnother/Nemo-12B-Marlin-v5
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- - anthracite-org/magnum-12b-v2
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- library_name: transformers
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- ---
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-
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- > [!WARNING]
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- > **General Use Sampling:**<br>
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- > Mistral-Nemo-12B is very sensitive to the temperature sampler, try values near **0.3** at first or else you will get some weird results. This is mentioned by MistralAI at their [Transformers](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407#transformers) section.
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-
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- > [!NOTE]
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- > **Best Samplers:**<br>
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- > I found best success using the following for Starlight-V3-12B:<br>
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- > Temperature: `0.7`-`1.2` (Additional stopping strings will be necessary as you increase the temperature)<br>
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- > Top K: `-1`<br>
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- > Min P: `0.05`<br>
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- > Rep Penalty: `1.03-1.1`
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-
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- # Why Version 3?
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- Currently the other versions resulted in really bad results that I didn't upload them, the version number is just the internal version.
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-
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- # Goal
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- The idea is to keep the strengths of [anthracite-org/magnum-12b-v2](https://huggingface.co/anthracite-org/magnum-12b-v2) while adding some more creativity
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- that seems to be lacking in the model. Mistral-Nemo by itself seems to behave less sporadic due to the low temperature needed but this gets a bit repetitive,
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- although it's still the best model I've used so far.
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-
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- # Results
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- I am not entirely pleased with the result of the merge but it seems okay, though base [anthracite-org/magnum-12b-v2](https://huggingface.co/anthracite-org/magnum-12b-v2)
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- might just be better by itself. However, I'll still experiement on different merge methods.
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- Leaking of the training data used on both models seems a bit more apparent when using higher temperature values,
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- especially the use of author notes on the system prompt. Generally I'd advise to create a stopping string for "```" to avoid the generation of the training data.
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-
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- **Original Models:**
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- - [UsernameJustAnother/Nemo-12B-Marlin-v5](https://huggingface.co/UsernameJustAnother/Nemo-12B-Marlin-v5) (Thank you so much for your work ♥)
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- - [anthracite-org/magnum-12b-v2](https://huggingface.co/anthracite-org/magnum-12b-v2) (Thank you so much for your work ♥)
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-
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- **Official Quants:** [starble-dev/Starlight-V3-12B-GGUF](https://huggingface.co/starble-dev/Starlight-V3-12B-GGUF) (Currently uploading)
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-
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- **Original Model Licenses & This Model License:** Apache 2.0
 
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+ ---
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+ base_model: []
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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+
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+ ---
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+ # Starlight-V2-12B
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+
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+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using models/magnum-12b-v2 as a base.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * models/Nemo-12B-Marlin-v5
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ models:
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+ - model: models/magnum-12b-v2
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+ parameters:
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+ density: 0.3
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+ weight: 0.5
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+ - model: models/Nemo-12B-Marlin-v5
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+ parameters:
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+ density: 0.7
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+ weight: 0.5
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+ merge_method: ties
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+ base_model: models/magnum-12b-v2
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: bfloat16
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+ ```
 
 
config.json ADDED
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+ {
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+ "_name_or_path": "models/magnum-12b-v2",
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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": 15,
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+ "head_dim": 128,
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+ "hidden_act": "silu",
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+ "hidden_size": 5120,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 1024000,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 40,
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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": "bfloat16",
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+ "transformers_version": "4.44.0.dev0",
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+ "use_cache": false,
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+ "vocab_size": 131072
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+ }
mergekit_config.yml ADDED
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+ models:
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+ - model: anthracite-org/magnum-12b-v2
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+ parameters:
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+ density: 0.3
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+ weight: 0.5
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+ - model: UsernameJustAnother/Nemo-12B-Marlin-v5
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+ parameters:
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+ density: 0.7
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+ weight: 0.5
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+ merge_method: ties
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+ base_model: anthracite-org/magnum-12b-v2
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: bfloat16
model.safetensors.index.json ADDED
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