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README.md

@@ -1,3 +1,467 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+---
+
+[cognitivecomputations/dolphin-2.9.1-mixtral-1x22b](https://huggingface.co/cognitivecomputations/dolphin-2.9.1-mixtral-1x22b) converted to Mistral format. A Mixtral model with a single expert is mathematically equivalent to the corresponding Mistral model. This allows to remove 344k parameters and to avoid software bugs when encountering a Mixtral with 1 expert.
+
+Note that ChatML is entirely broken in the original and converted model. I have no plausible explanation why it's broken. Alpaca seems to work even though the model is not trained on it.
+
+Original model card below.
+
+---
+
+# Dolphin 2.9.1 Mixtral 1x22b 🐬
+
+Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
+
+[![Discord](https://img.shields.io/discord/1156064224225808488?logo=Discord&logoColor=%23ffffff&label=Discord&link=https%3A%2F%2Fdiscord.gg%2FtCMkMDDHwm)](https://discord.gg/cognitivecomputations)
+Discord: https://discord.gg/cognitivecomputations
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" width="600" />
+
+This model is based on Dolphin-2.9-Mixtral-8x22b, and is Apache-2.0 licensed.
+
+The base model has 64k context, and the full-weight fine-tuning was with 16k sequence length.
+
+It took 27 hours on 8xH100 provided by Crusoe Cloud.
+
+This model was fully fine-tuned, targeting all layers.
+
+The model is an extracted expert using SLERP and a custom script that we've open-sourced. It extracts a single expert which is the combined SLERP of all 8 experts from a Mixtral architecture. We decided to not fully convert to a dense model, for the sake of trying to keep as much of the original model's performance as possible, as this process is already quite surgical and there are a lot of variables to take into account.
+
+Dolphin-2.9 has a variety of instruction, conversational, and coding skills. It also has initial agentic abilities and supports function calling.
+
+Dolphin is uncensored. We have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant with any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models You are responsible for any content you create using this model. Enjoy responsibly.
+
+Dolphin is licensed under Apache 2.0. We grant permission for any use, including commercial, as long as it complies with the Apache-2.0 license. Dolphin was trained using data generated from GPT-4, among other models. For more details on the extraction process of the expert model, visit our GitHub repository: https://github.com/cognitivecomputations/extract-expert/tree/main
+## Evals
+
+![image/png](https://i.ibb.co/yNmCv76/file-nkvf-Q9-Mg-X57-GB7-Ayrl-YA2-Zsp.png)
+
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.0`
+```yaml
+base_model: cognitivecomputations/mixtral-1x22b-base
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+# trust_remote_code: true
+
+# load_in_8bit: true
+# load_in_4bit: true
+# strict: false
+
+datasets:
+  - path: /workspace/datasets/dolphin-2.9/dolphin201-sharegpt2.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9/dolphin-coder-translate-sharegpt2.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9/dolphin-coder-codegen-sharegpt2.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9/not_samantha_norefusals.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9/Orca-Math-resort-unfiltered.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9/agent_instruct_react_unfiltered.jsonl
+    type: sharegpt  
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9/toolbench_instruct_j1s1_3k_unfiltered.jsonl
+    type: sharegpt  
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9/toolbench_negative_unfiltered.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9/toolbench_react_10p_unfiltered.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9/toolbench_tflan_cot_30p_unfiltered.jsonl
+    type: sharegpt
+    conversation: chatml
+  - path: /workspace/datasets/dolphin-2.9/openhermes200k_unfiltered.jsonl
+    type: sharegpt 
+    conversation: chatml
+
+chat_template: chatml
+dataset_prepared_path: yi34b-prepared
+val_set_size: 0.01
+output_dir: ./1x22b-out
+
+# adapter: qlora
+# lora_r: 16
+# lora_alpha: 16
+# lora_modules_to_save: [embed_tokens, lm_head]
+# lora_dropout: 0.05
+# lora_target_linear: true
+
+# unfrozen_parameters:
+# - ^lm_head.weight$
+# - ^model.embed_tokens.weight$
+# # input_layernorm layers
+# - model.layers.0.input_layernorm
+# - model.layers.1.input_layernorm
+# - model.layers.2.input_layernorm
+# - model.layers.3.input_layernorm
+# - model.layers.4.input_layernorm
+# - model.layers.5.input_layernorm
+# - model.layers.6.input_layernorm
+# - model.layers.7.input_layernorm
+# - model.layers.8.input_layernorm
+# - model.layers.9.input_layernorm
+# - model.layers.10.input_layernorm
+# - model.layers.11.input_layernorm
+# - model.layers.12.input_layernorm
+# - model.layers.13.input_layernorm
+# - model.layers.14.input_layernorm
+# - model.layers.15.input_layernorm
+# - model.layers.16.input_layernorm
+# - model.layers.17.input_layernorm
+# - model.layers.18.input_layernorm
+# - model.layers.19.input_layernorm
+# - model.layers.20.input_layernorm
+# - model.layers.21.input_layernorm
+# - model.layers.22.input_layernorm
+# - model.layers.23.input_layernorm
+# # lm_head layers
+# # mlp.down_proj layers
+# - model.layers.17.mlp.down_proj
+# - model.layers.18.mlp.down_proj
+# - model.layers.19.mlp.down_proj
+# - model.layers.20.mlp.down_proj
+# - model.layers.21.mlp.down_proj
+# - model.layers.22.mlp.down_proj
+# - model.layers.23.mlp.down_proj
+# - model.layers.24.mlp.down_proj
+# - model.layers.25.mlp.down_proj
+# - model.layers.26.mlp.down_proj
+# - model.layers.27.mlp.down_proj
+# - model.layers.28.mlp.down_proj
+# - model.layers.29.mlp.down_proj
+# - model.layers.30.mlp.down_proj
+# - model.layers.31.mlp.down_proj
+# - model.layers.32.mlp.down_proj
+# - model.layers.33.mlp.down_proj
+# - model.layers.34.mlp.down_proj
+# - model.layers.35.mlp.down_proj
+# - model.layers.36.mlp.down_proj
+# - model.layers.37.mlp.down_proj
+# - model.layers.38.mlp.down_proj
+# - model.layers.39.mlp.down_proj
+# - model.layers.40.mlp.down_proj
+# # mlp.gate_proj layers
+# - model.layers.51.mlp.gate_proj
+# - model.layers.50.mlp.gate_proj
+# - model.layers.53.mlp.gate_proj
+# - model.layers.52.mlp.gate_proj
+# - model.layers.49.mlp.gate_proj
+# - model.layers.45.mlp.gate_proj
+# - model.layers.46.mlp.gate_proj
+# - model.layers.47.mlp.gate_proj
+# - model.layers.57.mlp.gate_proj
+# - model.layers.48.mlp.gate_proj
+# - model.layers.56.mlp.gate_proj
+# - model.layers.41.mlp.gate_proj
+# - model.layers.54.mlp.gate_proj
+# - model.layers.43.mlp.gate_proj
+# - model.layers.44.mlp.gate_proj
+# - model.layers.60.mlp.gate_proj
+# - model.layers.55.mlp.gate_proj
+# - model.layers.40.mlp.gate_proj
+# - model.layers.42.mlp.gate_proj
+# - model.layers.58.mlp.gate_proj
+# - model.layers.36.mlp.gate_proj
+# - model.layers.37.mlp.gate_proj
+# - model.layers.38.mlp.gate_proj
+# - model.layers.39.mlp.gate_proj
+# # mlp.up_proj layers
+# - model.layers.50.mlp.up_proj
+# - model.layers.51.mlp.up_proj
+# - model.layers.41.mlp.up_proj
+# - model.layers.49.mlp.up_proj
+# - model.layers.43.mlp.up_proj
+# - model.layers.44.mlp.up_proj
+# - model.layers.40.mlp.up_proj
+# - model.layers.45.mlp.up_proj
+# - model.layers.47.mlp.up_proj
+# - model.layers.48.mlp.up_proj
+# - model.layers.46.mlp.up_proj
+# - model.layers.42.mlp.up_proj
+# - model.layers.39.mlp.up_proj
+# - model.layers.36.mlp.up_proj
+# - model.layers.37.mlp.up_proj
+# - model.layers.38.mlp.up_proj
+# - model.layers.56.mlp.up_proj
+# - model.layers.57.mlp.up_proj
+# - model.layers.53.mlp.up_proj
+# - model.layers.31.mlp.up_proj
+# - model.layers.32.mlp.up_proj
+# - model.layers.34.mlp.up_proj
+# - model.layers.35.mlp.up_proj
+# - model.layers.33.mlp.up_proj
+# # model.embed_tokens layers
+# # model.norm layers
+# # post_attention_layernorm layers
+# - model.layers.0.post_attention_layernorm
+# - model.layers.1.post_attention_layernorm
+# - model.layers.2.post_attention_layernorm
+# - model.layers.3.post_attention_layernorm
+# - model.layers.4.post_attention_layernorm
+# - model.layers.5.post_attention_layernorm
+# - model.layers.6.post_attention_layernorm
+# - model.layers.7.post_attention_layernorm
+# - model.layers.8.post_attention_layernorm
+# - model.layers.9.post_attention_layernorm
+# - model.layers.10.post_attention_layernorm
+# - model.layers.11.post_attention_layernorm
+# - model.layers.12.post_attention_layernorm
+# - model.layers.13.post_attention_layernorm
+# - model.layers.14.post_attention_layernorm
+# - model.layers.15.post_attention_layernorm
+# - model.layers.16.post_attention_layernorm
+# - model.layers.17.post_attention_layernorm
+# - model.layers.18.post_attention_layernorm
+# - model.layers.19.post_attention_layernorm
+# - model.layers.20.post_attention_layernorm
+# - model.layers.21.post_attention_layernorm
+# - model.layers.22.post_attention_layernorm
+# - model.layers.23.post_attention_layernorm
+# # self_attn.k_proj layers
+# - model.layers.42.self_attn.k_proj
+# - model.layers.41.self_attn.k_proj
+# - model.layers.39.self_attn.k_proj
+# - model.layers.35.self_attn.k_proj
+# - model.layers.28.self_attn.k_proj
+# - model.layers.79.self_attn.k_proj
+# - model.layers.43.self_attn.k_proj
+# - model.layers.32.self_attn.k_proj
+# - model.layers.73.self_attn.k_proj
+# - model.layers.31.self_attn.k_proj
+# - model.layers.29.self_attn.k_proj
+# - model.layers.76.self_attn.k_proj
+# - model.layers.30.self_attn.k_proj
+# - model.layers.40.self_attn.k_proj
+# - model.layers.33.self_attn.k_proj
+# - model.layers.78.self_attn.k_proj
+# - model.layers.34.self_attn.k_proj
+# - model.layers.37.self_attn.k_proj
+# - model.layers.45.self_attn.k_proj
+# - model.layers.44.self_attn.k_proj
+# - model.layers.71.self_attn.k_proj
+# - model.layers.26.self_attn.k_proj
+# - model.layers.74.self_attn.k_proj
+# - model.layers.27.self_attn.k_proj
+# # self_attn.o_proj layers
+# - model.layers.35.self_attn.o_proj
+# - model.layers.34.self_attn.o_proj
+# - model.layers.37.self_attn.o_proj
+# - model.layers.33.self_attn.o_proj
+# - model.layers.31.self_attn.o_proj
+# - model.layers.27.self_attn.o_proj
+# - model.layers.38.self_attn.o_proj
+# - model.layers.24.self_attn.o_proj
+# - model.layers.39.self_attn.o_proj
+# - model.layers.43.self_attn.o_proj
+# - model.layers.29.self_attn.o_proj
+# - model.layers.0.self_attn.o_proj
+# - model.layers.50.self_attn.o_proj
+# - model.layers.32.self_attn.o_proj
+# - model.layers.45.self_attn.o_proj
+# - model.layers.30.self_attn.o_proj
+# - model.layers.60.self_attn.o_proj
+# - model.layers.23.self_attn.o_proj
+# - model.layers.18.self_attn.o_proj
+# - model.layers.67.self_attn.o_proj
+# - model.layers.57.self_attn.o_proj
+# - model.layers.20.self_attn.o_proj
+# - model.layers.76.self_attn.o_proj
+# - model.layers.28.self_attn.o_proj
+# # self_attn.q_proj layers
+# - model.layers.1.self_attn.q_proj
+# - model.layers.6.self_attn.q_proj
+# - model.layers.0.self_attn.q_proj
+# - model.layers.5.self_attn.q_proj
+# - model.layers.2.self_attn.q_proj
+# - model.layers.7.self_attn.q_proj
+# - model.layers.3.self_attn.q_proj
+# - model.layers.4.self_attn.q_proj
+# - model.layers.8.self_attn.q_proj
+# - model.layers.9.self_attn.q_proj
+# - model.layers.61.self_attn.q_proj
+# - model.layers.10.self_attn.q_proj
+# - model.layers.62.self_attn.q_proj
+# - model.layers.36.self_attn.q_proj
+# - model.layers.15.self_attn.q_proj
+# - model.layers.11.self_attn.q_proj
+# - model.layers.17.self_attn.q_proj
+# - model.layers.60.self_attn.q_proj
+# - model.layers.63.self_attn.q_proj
+# - model.layers.64.self_attn.q_proj
+# - model.layers.29.self_attn.q_proj
+# - model.layers.30.self_attn.q_proj
+# - model.layers.55.self_attn.q_proj
+# - model.layers.34.self_attn.q_proj
+# # self_attn.v_proj layers
+# - model.layers.12.self_attn.v_proj
+# - model.layers.16.self_attn.v_proj
+# - model.layers.18.self_attn.v_proj
+# - model.layers.19.self_attn.v_proj
+# - model.layers.20.self_attn.v_proj
+# - model.layers.21.self_attn.v_proj
+# - model.layers.22.self_attn.v_proj
+# - model.layers.23.self_attn.v_proj
+# - model.layers.24.self_attn.v_proj
+# - model.layers.25.self_attn.v_proj
+# - model.layers.26.self_attn.v_proj
+# - model.layers.27.self_attn.v_proj
+# - model.layers.28.self_attn.v_proj
+# - model.layers.29.self_attn.v_proj
+# - model.layers.30.self_attn.v_proj
+# - model.layers.31.self_attn.v_proj
+# - model.layers.32.self_attn.v_proj
+# - model.layers.33.self_attn.v_proj
+# - model.layers.34.self_attn.v_proj
+# - model.layers.35.self_attn.v_proj
+# - model.layers.36.self_attn.v_proj
+# - model.layers.37.self_attn.v_proj
+# - model.layers.38.self_attn.v_proj
+# - model.layers.39.self_attn.v_proj
+
+
+
+sequence_len: 16384 
+sample_packing: true
+pad_to_sequence_len: true
+
+# adapter: lora
+# lora_model_dir:
+# lora_r: 32
+# lora_alpha: 16
+# lora_dropout: 0.05
+# lora_target_linear: true
+# lora_fan_in_fan_out:
+
+wandb_project: dolphin-mixtral1x22b
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 8
+micro_batch_size: 1
+num_epochs: 3
+optimizer: adamw_8bit
+lr_scheduler: cosine
+learning_rate: 1e-5
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint: /workspace/axolotl2/axolotl/1x22b-out/checkpoint-507
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 10
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 4
+save_total_limit: 2
+debug:
+deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json
+weight_decay: 0.01
+fsdp:
+fsdp_config:
+special_tokens:
+  eos_token: "<|im_end|>"
+  bos_token: "<s>"
+  # pad_token: "<unk>"
+  unk_token: "<unk>"
+tokens:
+- "<|im_start|>"
+
+
+
+
+
+```
+
+</details><br>
+
+# 1x22b-out
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.9818        | 0.0015 | 1    | 0.9854          |
+| 0.4783        | 0.2499 | 169  | 0.5042          |
+| 0.464         | 0.4997 | 338  | 0.4755          |
+| 0.4561        | 0.7496 | 507  | 0.4593          |
+| 0.3981        | 0.9994 | 676  | 0.4553          |
+| 0.3725        | 1.2378 | 845  | 0.4525          |
+| 0.3624        | 1.4877 | 1014 | 0.4457          |
+| 0.359         | 1.7376 | 1183 | 0.4393          |
+| 0.375         | 1.9874 | 1352 | 0.4345          |
+| 0.2899        | 2.2260 | 1521 | 0.4488          |
+| 0.2848        | 2.4759 | 1690 | 0.4473          |
+| 0.2935        | 2.7257 | 1859 | 0.4470          |
+| 0.2065        | 2.9756 | 2028 | 0.4572          |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

added_tokens.json

@@ -0,0 +1,4 @@
+{
+  "<|im_end|>": 32000,
+  "<|im_start|>": 32001
+}

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "dolphin-2.9.1-mixtral-1x22b",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 6144,
+  "initializer_range": 0.02,
+  "intermediate_size": 16384,
+  "max_position_embeddings": 65536,
+  "model_type": "mistral",
+  "num_attention_heads": 48,
+  "num_hidden_layers": 56,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.1",
+  "use_cache": false,
+  "vocab_size": 32002
+}

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.40.2"
+}

model.safetensors.index.json

@@ -0,0 +1,514 @@
+{
+  "metadata": {
+    "total_size": 44475740160
+  },
+  "weight_map": {
+    "lm_head.weight": "model-00009-of-00009.safetensors",
+    "model.embed_tokens.weight": "model-00001-of-00009.safetensors",
+    "model.layers.0.input_layernorm.weight": "model-00001-of-00009.safetensors",
+    "model.layers.0.mlp.down_proj.weight": "model-00001-of-00009.safetensors",
+    "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00009.safetensors",
+    "model.layers.0.mlp.up_proj.weight": "model-00001-of-00009.safetensors",
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special_tokens_map.json

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tokenizer.model

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+size 493443

tokenizer_config.json

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