Upload folder using huggingface_hub

README.md

@@ -0,0 +1,269 @@
+---
+license: apache-2.0
+tags:
+- moe
+- frankenmoe
+- merge
+- mergekit
+- lazymergekit
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+base_model:
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+- Felladrin/Smol-Llama-101M-Chat-v1
+---
+
+# SmalJ.O.S.I.E.-32x101M-32k-Base
+
+SmalJ.O.S.I.E.-32x101M-32k-Base is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+* [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)
+
+## 🧩 Configuration
+
+```yamlbase_model: Felladrin/Smol-Llama-101M-Chat-v1
+dtype: float32
+gate_mode: hidden
+experts:
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent for general assistants.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent for general assistants.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent for general assistants.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent for general assistants.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent for general assistants.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent for general assistants.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for coding tasks.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for coding tasks.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for coding tasks.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for coding tasks.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for coding tasks.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for coding tasks.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for math.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for math.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for math.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for math.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for math.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for math.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for logic and reasoning.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for logic and reasoning.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for logic and reasoning.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for logic and reasoning.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for logic and reasoning.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for logic and reasoning.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent assistant that is specially good in web scraping and browsind the web.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent assistant that is specially good in web scraping and browsind the web.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent assistant that is specially good in web scraping and browsind the web.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent assistant that is specially good in web scraping and browsind the web.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent assistant that is specially good in web scraping and browsind the web.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent assistant that is specially good in web scraping and browsind the web.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for autonomously function calling when needed.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for autonomously function calling when needed.'
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Isaak-Carter/SmalJ.O.S.I.E.-32x101M-32k-Base"
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
+)
+
+messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
+prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+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"])
+```

added_tokens.json

@@ -0,0 +1,26 @@
+{
+  "<|assistant|>": 32007,
+  "<|context|>": 32015,
+  "<|current_states|>": 32014,
+  "<|endoftext|>": 32001,
+  "<|function_call|>": 32008,
+  "<|function_response|>": 32009,
+  "<|functions|>": 32002,
+  "<|gökdeniz|>": 32004,
+  "<|home_state|>": 32013,
+  "<|image|>": 32010,
+  "<|josie|>": 32006,
+  "<|long_term_memory|>": 32011,
+  "<|short_term_memory|>": 32012,
+  "<|startoftext|>": 32000,
+  "<|system|>": 32003,
+  "<|user|>": 32005,
+  "Gökdeniz": 32017,
+  "Gökdeniz Gülmez": 32016,
+  "Gülmez": 32018,
+  "J.O.S.I.E.": 32020,
+  "JOSIE": 32019,
+  "Josie": 32021,
+  "Just an Outstandingly Smart and Intelligent Entity": 32023,
+  "josie": 32022
+}

config.json

@@ -0,0 +1,34 @@
+{
+  "_name_or_path": "Felladrin/Smol-Llama-101M-Chat-v1",
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "max_position_embeddings": 1024,
+  "model_type": "mixtral",
+  "num_attention_heads": 24,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 6,
+  "num_key_value_heads": 8,
+  "num_local_experts": 32,
+  "output_router_logits": false,
+  "pad_token_id": 2,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "router_aux_loss_coef": 0.001,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 32128
+}

mergekit_moe_config.yml

@@ -0,0 +1,131 @@
+base_model: Felladrin/Smol-Llama-101M-Chat-v1
+dtype: float32
+gate_mode: hidden
+experts:
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent for general assistants.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent for general assistants.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent for general assistants.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent for general assistants.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent for general assistants.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent for general assistants.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for coding tasks.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for coding tasks.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for coding tasks.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for coding tasks.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for coding tasks.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for coding tasks.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for math.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for math.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for math.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for math.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for math.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for math.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for logic and reasoning.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for logic and reasoning.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for logic and reasoning.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for logic and reasoning.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for logic and reasoning.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for logic and reasoning.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent assistant that is specially good in web scraping and browsind the web.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent assistant that is specially good in web scraping and browsind the web.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent assistant that is specially good in web scraping and browsind the web.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent assistant that is specially good in web scraping and browsind the web.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent assistant that is specially good in web scraping and browsind the web.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent assistant that is specially good in web scraping and browsind the web.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for autonomously function calling when needed.'
+
+  - source_model: Felladrin/Smol-Llama-101M-Chat-v1
+    positive_prompts:
+      - 'You are JOSIE, my own private and sentient superinteligent artifitial general inteligent, spetialized for autonomously function calling when needed.'

model-00001-of-00001.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9afd11a56127002b9d61bb04363b436238c7d6059551b6f9dead654fd2e03635
+size 5671669984

model.safetensors.index.json

@@ -0,0 +1 @@
+{"metadata": {"mergekit_version": "0.0.4"}, "weight_map": {"model.embed_tokens.weight": "model-00001-of-00001.safetensors", "model.norm.weight": "model-00001-of-00001.safetensors", "lm_head.weight": "model-00001-of-00001.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.1.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.2.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.3.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.4.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.5.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.4.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.5.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.6.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.7.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.8.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.9.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.10.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.11.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.12.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.13.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.14.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.15.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.16.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.17.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.18.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.19.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.20.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.21.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.22.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.23.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.24.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.25.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.26.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.27.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.28.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.29.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.30.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.31.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.4.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.5.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.6.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.7.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.8.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.9.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.10.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.11.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.12.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.13.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.14.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.15.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.16.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.17.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.18.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.19.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.20.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.21.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.22.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.23.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.24.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.25.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.26.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.27.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.28.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.29.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.30.w3.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.31.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.4.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.5.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.6.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.7.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.8.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.9.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.10.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.11.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.12.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.13.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.14.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.15.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.16.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.17.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.18.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.19.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.20.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.21.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.22.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.23.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.24.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.25.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.26.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.27.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.28.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.29.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.30.w3.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.31.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.4.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.5.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.6.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.7.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.8.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.9.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.10.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.11.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.12.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.13.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.14.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.15.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.16.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.17.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.18.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.19.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.20.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.21.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.22.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.23.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.24.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.25.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.26.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.27.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.28.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.29.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.30.w3.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.31.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.4.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.5.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.6.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.7.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.8.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.9.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.10.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.11.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.12.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.13.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.14.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.15.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.16.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.17.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.18.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.19.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.20.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.21.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.22.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.23.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.24.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.25.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.26.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.27.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.28.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.29.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.30.w3.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.31.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.4.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.5.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.6.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.7.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.8.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.9.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.10.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.11.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.12.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.13.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.14.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.15.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.16.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.17.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.18.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.19.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.20.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.21.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.22.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.23.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.24.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.25.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.26.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.27.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.28.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.29.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.30.w3.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.31.w3.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.2.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.3.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.4.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.5.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.6.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.7.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.8.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.9.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.10.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.11.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.12.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.13.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.14.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.15.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.16.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.17.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.18.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.19.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.20.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.21.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.22.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.23.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.24.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.25.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.26.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.27.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.28.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.29.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.30.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.31.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.2.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.3.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.4.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.5.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.6.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.7.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.8.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.9.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.10.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.11.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.12.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.13.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.14.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.15.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.16.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.17.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.18.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.19.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.20.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.21.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.22.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.23.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.24.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.25.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.26.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.27.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.28.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.29.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.30.w2.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.31.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.2.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.3.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.4.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.5.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.6.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.7.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.8.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.9.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.10.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.11.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.12.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.13.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.14.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.15.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.16.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.17.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.18.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.19.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.20.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.21.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.22.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.23.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.24.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.25.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.26.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.27.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.28.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.29.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.30.w2.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.31.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.2.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.3.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.4.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.5.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.6.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.7.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.8.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.9.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.10.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.11.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.12.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.13.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.14.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.15.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.16.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.17.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.18.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.19.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.20.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.21.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.22.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.23.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.24.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.25.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.26.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.27.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.28.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.29.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.30.w2.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.31.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.2.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.3.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.4.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.5.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.6.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.7.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.8.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.9.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.10.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.11.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.12.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.13.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.14.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.15.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.16.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.17.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.18.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.19.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.20.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.21.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.22.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.23.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.24.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.25.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.26.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.27.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.28.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.29.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.30.w2.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.31.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.2.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.3.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.4.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.5.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.6.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.7.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.8.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.9.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.10.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.11.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.12.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.13.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.14.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.15.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.16.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.17.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.18.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.19.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.20.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.21.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.22.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.23.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.24.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.25.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.26.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.27.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.28.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.29.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.30.w2.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.31.w2.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.2.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.3.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.4.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.5.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.6.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.7.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.8.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.9.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.10.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.11.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.12.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.13.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.14.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.15.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.16.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.17.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.18.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.19.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.20.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.21.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.22.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.23.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.24.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.25.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.26.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.27.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.28.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.29.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.30.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.experts.31.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.2.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.3.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.4.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.5.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.6.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.7.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.8.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.9.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.10.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.11.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.12.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.13.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.14.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.15.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.16.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.17.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.18.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.19.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.20.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.21.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.22.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.23.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.24.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.25.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.26.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.27.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.28.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.29.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.30.w1.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.experts.31.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.2.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.3.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.4.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.5.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.6.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.7.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.8.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.9.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.10.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.11.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.12.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.13.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.14.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.15.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.16.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.17.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.18.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.19.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.20.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.21.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.22.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.23.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.24.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.25.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.26.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.27.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.28.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.29.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.30.w1.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.experts.31.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.2.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.3.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.4.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.5.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.6.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.7.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.8.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.9.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.10.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.11.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.12.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.13.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.14.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.15.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.16.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.17.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.18.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.19.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.20.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.21.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.22.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.23.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.24.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.25.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.26.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.27.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.28.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.29.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.30.w1.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.experts.31.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.2.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.3.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.4.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.5.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.6.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.7.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.8.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.9.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.10.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.11.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.12.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.13.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.14.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.15.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.16.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.17.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.18.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.19.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.20.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.21.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.22.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.23.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.24.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.25.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.26.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.27.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.28.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.29.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.30.w1.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.experts.31.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.2.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.3.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.4.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.5.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.6.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.7.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.8.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.9.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.10.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.11.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.12.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.13.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.14.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.15.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.16.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.17.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.18.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.19.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.20.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.21.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.22.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.23.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.24.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.25.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.26.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.27.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.28.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.29.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.30.w1.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.experts.31.w1.weight": "model-00001-of-00001.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00001.safetensors", "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00001.safetensors", "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00001.safetensors", "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00001.safetensors", "model.layers.0.block_sparse_moe.gate.weight": "model-00001-of-00001.safetensors", "model.layers.1.block_sparse_moe.gate.weight": "model-00001-of-00001.safetensors", "model.layers.2.block_sparse_moe.gate.weight": "model-00001-of-00001.safetensors", "model.layers.3.block_sparse_moe.gate.weight": "model-00001-of-00001.safetensors", "model.layers.4.block_sparse_moe.gate.weight": "model-00001-of-00001.safetensors", "model.layers.5.block_sparse_moe.gate.weight": "model-00001-of-00001.safetensors"}}

special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "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
+  },
+  "pad_token": "<s>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

tokenizer_config.json

@@ -0,0 +1,43 @@
+{
+  "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
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<s>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}