Fixed README.md

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README.md

@@ -1,3 +1,111 @@
 ---
-license: apache-2.0
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+datasets:
+- jondurbin/airoboros-2.2
+- Open-Orca/OpenOrca
+- garage-bAInd/Open-Platypus
+- WizardLM/WizardLM_evol_instruct_V2_196k
+- TokenBender/python_eval_instruct_51k
+- codefuse-ai/Evol-Instruction-66k
+tags:
+- llama-2
+- code
+license: llama2
+model-index:
+- name: SpeechlessCoder
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      type: openai_humaneval
+      name: HumanEval
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 
+      verified: false
 ---
+
+<p><h1> speechless-thoughts-mistral-7b-v1.0  </h1></p>
+
+[code](https://github.com/uukuguy/multi_loras)
+
+speechless-thoughts-mistral-7b-v1.0 is fine-tuned as a baseline of the [speechless-sparsetral-16x7b-MoE](https://huggingface.co/uukuguy/speechless-sparsetral-16x7b-MoE). 
+
+```
+learning_rate=2e-4
+lora_r=64
+lora_alpha=16
+model_max_length=8192
+```
+
+The specific datasets (speechless-thoughts-252k) are as follows:
+
+- jondurbin/airoboros-2.2: Filter categories related to coding, reasoning and planning. 23,462 samples.
+- Open-Orca/OpenOrca: Filter the 'cot' category in 1M GPT4 dataset. 74,440 samples.
+- garage-bAInd/Open-Platypus: 100%, 24,926 samples.
+- WizardLM/WizardLM_evol_instruct_V2_196k: Coding coversation part. 30,185 samples
+- TokenBender/python_eval_instruct_51k: “python” in output .40,309 samples
+- Spider: 8,659 samples
+- codefuse-ai/Evol-Instruction-66k: 100%, 66,862 samples
+
+## Alpaca Prompt Format
+
+```
+### Instruction:
+<instruction>
+### Response:
+```
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name_or_path="uukuguy/speechless-thoughts-mistral-7b-v1.0"
+tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, trust_remote_code=True)
+  model = AutoModelForCausalLM.from_pretrained(model_name_or_path, device_map="auto", trust_remote_code=True).eval()
+
+  system = ""Below is an instruction that describes a task.\nWrite a response that appropriately completes the request.\n\n""
+  prompt = f"{system}\n\n### Instruction:\n{instruction}\n\n### Response:"
+
+  inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+  pred = model.generate(**inputs, max_length=4096, do_sample=True, top_k=50, top_p=0.99, temperature=0.9, num_return_sequences=1)
+  print(tokenizer.decode(pred.cpu()[0], skip_special_tokens=True))
+```
+
+## HumanEval
+
+| Metric | Value |
+| --- | --- |
+| humaneval-python | |
+
+## lm-evaluation-harness
+
+```json
+{'ARC (acc_norm)': ,
+'HellaSwag (acc_norm)': ,
+'MMLU (acc)': ,
+'TruthfulQA (mc2)': ,
+'Winoground (acc)': ,
+'GSM8K (acc)': ,
+'DROP (f1)': ,
+'Open LLM Score': }
+```
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_uukuguy__speechless-thoughts-mistral-7b)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  |    |
+| ARC (25-shot)         |           |
+| HellaSwag (10-shot)   |     |
+| MMLU (5-shot)         |          |
+| TruthfulQA (0-shot)   |    |
+| Winogrande (5-shot)   |    |
+| GSM8K (5-shot)        |         |
+

config.json

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+{
+  "_name_or_path": "/opt/local/llm_models/huggingface.co/mistralai/Mistral-7B-v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.37.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.37.0"
+}

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