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Model: Kukedlc/Neural-4-Maths-7b Source: Original Platform
2026-05-06 01:47:10 +08:00
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+*.7z filter=lfs diff=lfs merge=lfs -text
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--- a/README.md
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+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- liminerity/M7-7b
+- MTSAIR/multi_verse_model
+- Kukedlc/NeuralSirKrishna-7b
+- Kukedlc/NeuralMaths-Experiment-7b
+- Kukedlc/Neural4gsm8k
+base_model:
+- liminerity/M7-7b
+- MTSAIR/multi_verse_model
+- Kukedlc/NeuralSirKrishna-7b
+- Kukedlc/NeuralMaths-Experiment-7b
+- Kukedlc/Neural4gsm8k
+license: apache-2.0
+---
+
+# Neural-4-Maths-7b
+
+Neural-4-Maths-7b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [liminerity/M7-7b](https://huggingface.co/liminerity/M7-7b)
+* [MTSAIR/multi_verse_model](https://huggingface.co/MTSAIR/multi_verse_model)
+* [Kukedlc/NeuralSirKrishna-7b](https://huggingface.co/Kukedlc/NeuralSirKrishna-7b)
+* [Kukedlc/NeuralMaths-Experiment-7b](https://huggingface.co/Kukedlc/NeuralMaths-Experiment-7b)
+* [Kukedlc/Neural4gsm8k](https://huggingface.co/Kukedlc/Neural4gsm8k)
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: Kukedlc/NeuralSirKrishna-7b
+    # No parameters necessary for base model
+  - model: liminerity/M7-7b
+    parameters:
+      density: 0.66
+      weight: 0.2
+  - model: MTSAIR/multi_verse_model
+    parameters:
+      density: 0.66
+      weight: 0.2
+  - model: Kukedlc/NeuralSirKrishna-7b
+    parameters:
+      density: 0.66
+      weight: 0.2
+  - model: Kukedlc/NeuralMaths-Experiment-7b
+    parameters:
+      density: 0.44
+      weight: 0.2
+  - model: Kukedlc/Neural4gsm8k
+    parameters:
+      density: 0.44
+      weight: 0.2
+merge_method: dare_ties
+base_model: Kukedlc/NeuralSirKrishna-7b
+parameters:
+  int8_mask: true
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Kukedlc/Neural-4-Maths-7b"
+messages = [{"role": "user", "content": "What is a large language model?"}]
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```
--- a/config.json
+++ b/config.json
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+{
+  "_name_or_path": "Kukedlc/NeuralSirKrishna-7b",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}
--- a/mergekit_config.yml
+++ b/mergekit_config.yml
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+
+models:
+  - model: Kukedlc/NeuralSirKrishna-7b
+    # No parameters necessary for base model
+  - model: liminerity/M7-7b
+    parameters:
+      density: 0.66
+      weight: 0.2
+  - model: MTSAIR/multi_verse_model
+    parameters:
+      density: 0.66
+      weight: 0.2
+  - model: Kukedlc/NeuralSirKrishna-7b
+    parameters:
+      density: 0.66
+      weight: 0.2
+  - model: Kukedlc/NeuralMaths-Experiment-7b
+    parameters:
+      density: 0.44
+      weight: 0.2
+  - model: Kukedlc/Neural4gsm8k
+    parameters:
+      density: 0.44
+      weight: 0.2
+merge_method: dare_ties
+base_model: Kukedlc/NeuralSirKrishna-7b
+parameters:
+  int8_mask: true
+dtype: bfloat16
--- a/model-00001-of-00002.safetensors
+++ b/model-00001-of-00002.safetensors
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+size 9825524456
--- a/model-00002-of-00002.safetensors
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--- a/model.safetensors.index.json
+++ b/model.safetensors.index.json
--- a/special_tokens_map.json
+++ b/special_tokens_map.json
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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
--- a/tokenizer.json
+++ b/tokenizer.json
--- a/tokenizer.model
+++ b/tokenizer.model
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
@@ -0,0 +1,42 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}