初始化项目，由ModelHub XC社区提供模型

Model: jan-hq/stealth-v2
Source: Original Platform

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README.md

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+---
+language:
+- en
+license: apache-2.0
+model-index:
+- name: stealth-v2
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 73.89
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jan-hq/stealth-v2
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 89.26
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jan-hq/stealth-v2
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 64.94
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jan-hq/stealth-v2
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 72.47
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jan-hq/stealth-v2
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 88.0
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jan-hq/stealth-v2
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 69.67
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jan-hq/stealth-v2
+      name: Open LLM Leaderboard
+---
+<!-- header start -->
+<!-- 200823 -->
+
+<div style="width: auto; margin-left: auto; margin-right: auto"
+>
+<img src="https://github.com/janhq/jan/assets/89722390/35daac7d-b895-487c-a6ac-6663daaad78e" alt="Jan banner"
+ style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+
+<p align="center">
+    <a href="https://jan.ai/">Jan</a
+> 
+    - <a href="https://discord.gg/AsJ8krTT3N">Discord</a>
+</p>
+<!-- header end -->
+
+
+# Prompt template
+
+ChatML
+```
+<|im_start|>system
+{system_message}<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+
+```
+
+# Training detail
+You can read [here](https://huggingface.co/jan-hq/stealth-finance-v1-adapter).
+
+# Run this model
+You can run this model using [Jan Desktop](https://jan.ai/) on Mac, Windows, or Linux.
+
+Jan is an open source, ChatGPT alternative that is:
+
+- 💻  **100% offline on your machine**: Your conversations remain confidential, and visible only to you.
+- 🗂️ **
+An Open File Format**: Conversations and model settings stay on your computer and can be exported or deleted at any time.
+- 🌐 **OpenAI Compatible**: Local server on port `1337` with OpenAI compatible endpoints
+
+- 🌍 **Open Source & Free**: We build in public; check out our [Github](https://github.com/janhq)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65713d70f56f9538679e5a56/r7VmEBLGXpPLTu2MImM7S.png)
+
+
+# About Jan
+Jan believes in the need for an open-source AI ecosystem and is building the infra and tooling to allow open-source AIs to compete on a level playing field with proprietary ones.
+
+Jan's long-term vision is to build a cognitive framework for future robots, who are practical, useful assistants for humans and businesses in everyday life.
+# [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_jan-hq__stealth-v2)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |76.37|
+|AI2 Reasoning Challenge (25-Shot)|73.89|
+|HellaSwag (10-Shot)              |89.26|
+|MMLU (5-Shot)                    |64.94|
+|TruthfulQA (0-shot)              |72.47|
+|Winogrande (5-shot)              |88.00|
+|GSM8k (5-shot)                   |69.67|
+

config.json

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+  "_name_or_path": "TomGrc/FusionNet_7Bx2_MoE_v0.1",
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
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+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mixtral",
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+  "num_experts_per_tok": 2,
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+  "num_key_value_heads": 8,
+  "num_local_experts": 2,
+  "output_router_logits": false,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "router_aux_loss_coef": 0.001,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.2",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

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+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.37.2",
+  "use_cache": false
+}

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special_tokens_map.json

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+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+}