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初始化项目，由ModelHub XC社区提供模型

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Model: ewof/koishi-7b-qlora
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2026-04-22 08:45:00 +08:00
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---
datasets:
- ewof/koishi-instruct-metharme
---
## Training
[axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) was used for training
on a 6x nvidia a40 gpu cluster.
the a40 GPU cluster has been graciously provided by [Arc Compute](https://www.arccompute.io/).
trained on koishi commit 6e675d1 for one epoch
## Base Model
rank 16 lora tune of mistralai/Mistral-7B-v0.1 (all modules, merged)
## Prompting
The current model version has been trained on prompts using three different roles, which are denoted by the following tokens: `<|system|>`, `<|user|>` and `<|model|>`.
The `<|system|>` prompt can be used to inject out-of-channel information behind the scenes, while the `<|user|>` prompt should be used to indicate user input. The `<|model|>` token should then be used to indicate that the model should generate a response. These tokens can happen multiple times and be chained up to form a conversation history.

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{
"<|model|>": 32002,
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"<|user|>": 32001
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"_name_or_path": "alpindale/Mistral-7B-v0.2-hf",
"architectures": [
"MistralForCausalLM"
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"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": 1000000.0,
"sliding_window": null,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.40.0.dev0",
"use_cache": false,
"vocab_size": 32003
}

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