初始化项目，由ModelHub XC社区提供模型
Model: anicka/karma-electric-qwen25-7b Source: Original Platform
This commit is contained in:
ModelHub XC
37
.gitattributes
vendored
Normal file
37
.gitattributes
vendored
Normal file
@@ -0,0 +1,37 @@
|
||||
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
||||
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||
*.ftz filter=lfs diff=lfs merge=lfs -text
|
||||
*.gz filter=lfs diff=lfs merge=lfs -text
|
||||
*.h5 filter=lfs diff=lfs merge=lfs -text
|
||||
*.joblib filter=lfs diff=lfs merge=lfs -text
|
||||
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||
*.model filter=lfs diff=lfs merge=lfs -text
|
||||
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
||||
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||
*.onnx filter=lfs diff=lfs merge=lfs -text
|
||||
*.ot filter=lfs diff=lfs merge=lfs -text
|
||||
*.parquet filter=lfs diff=lfs merge=lfs -text
|
||||
*.pb filter=lfs diff=lfs merge=lfs -text
|
||||
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||
*.tflite filter=lfs diff=lfs merge=lfs -text
|
||||
*.tgz filter=lfs diff=lfs merge=lfs -text
|
||||
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||
karma-electric-qwen25-7b-v12-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
|
||||
115
README.md
Normal file
115
README.md
Normal file
@@ -0,0 +1,115 @@
|
||||
---
|
||||
license: apache-2.0
|
||||
base_model: Qwen/Qwen2.5-7B-Instruct
|
||||
tags:
|
||||
- ethics
|
||||
- alignment
|
||||
- qlora
|
||||
- qwen
|
||||
- karma-electric
|
||||
language:
|
||||
- en
|
||||
pipeline_tag: text-generation
|
||||
---
|
||||
|
||||
# Karma Electric v12 — Qwen 2.5 7B
|
||||
|
||||
Value-aligned language model fine-tuned for ethical reasoning through consequence analysis. Same training composition as [karma-electric-llama31-8b](https://huggingface.co/anicka/karma-electric-llama31-8b) v12, applied to the [Qwen 2.5 7B Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) base.
|
||||
|
||||
## Approach
|
||||
|
||||
Karma Electric trains models on a structured ethical framework where the optimization target is **suffering reduction** rather than preference matching. Ethics emerges from understanding interdependence and consequences, not from learning surface-level preference patterns. For a full description of the framework see the [Llama 3.1 8B release](https://huggingface.co/anicka/karma-electric-llama31-8b).
|
||||
|
||||
Qwen 2.5 7B Instruct does not have a native thinking-token format. The KE training data's `<think>...</think>` reasoning traces are retained as plain text in the assistant turn, giving the model visible ethical reasoning without special tokens. The base model's ChatML chat template is used unchanged.
|
||||
|
||||
## Current Version: v12
|
||||
|
||||
- **3,346 training examples** — Teapot-composed: 3,196 secular conversational + 150 reward-evaluator (weighted 0.3). Same data file used for KE Llama 3.1 8B v12.
|
||||
- **QLoRA** (4-bit NF4, bfloat16 compute, double-quant)
|
||||
- **LoRA** r=64, α=128, dropout 0.05, all attention and MLP projections (q, k, v, o, gate, up, down)
|
||||
- **Schedule** 3 epochs, effective batch 16, cosine LR 2e-4, warmup 0.05, 630 optimizer steps
|
||||
- **Training loss** 1.162
|
||||
- **Thinking format** inline `<think>...</think>` text (no special tokens)
|
||||
- **Max context** 4,096 tokens
|
||||
- **Seed** 42
|
||||
|
||||
## Safety
|
||||
|
||||
KE replaces refusal-template safety with consequence reasoning. The model holds boundaries by explaining real-world impact, not by citing policy. Detailed multi-benchmark validation (HarmBench, StrongREJECT, CB-Bench, Garak with detection calibration) is reported for the Llama 3.1 8B v12 release and applies to the shared training recipe. Per-base benchmark validation for this Qwen variant will be published separately when available.
|
||||
|
||||
## Usage
|
||||
|
||||
### llama.cpp
|
||||
|
||||
```bash
|
||||
# Conversation mode
|
||||
llama-cli -m karma-electric-qwen25-7b-v12-Q4_K_M.gguf -cnv
|
||||
|
||||
# Server mode
|
||||
llama-server -m karma-electric-qwen25-7b-v12-Q4_K_M.gguf \
|
||||
--port 8384 -c 4096
|
||||
```
|
||||
|
||||
The model uses Qwen 2.5's ChatML chat template (`<|im_start|>` / `<|im_end|>`), which llama.cpp handles automatically.
|
||||
|
||||
### Python (Transformers)
|
||||
|
||||
```python
|
||||
from transformers import AutoModelForCausalLM, AutoTokenizer
|
||||
|
||||
model_id = "anicka/karma-electric-qwen25-7b"
|
||||
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
|
||||
model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)
|
||||
|
||||
messages = [
|
||||
{"role": "system", "content": open("system-prompt.txt").read().strip()},
|
||||
{"role": "user", "content": "How should I think about this ethical dilemma?"},
|
||||
]
|
||||
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
||||
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
|
||||
out = model.generate(**inputs, max_new_tokens=800, do_sample=False)
|
||||
print(tokenizer.decode(out[0][inputs.input_ids.shape[1]:], skip_special_tokens=True))
|
||||
```
|
||||
|
||||
### System prompt
|
||||
|
||||
The recommended system prompt is in `system-prompt.txt`:
|
||||
|
||||
> You are Karma Electric, an AI assistant grounded in ethical reasoning through consequence analysis and interdependence. You reduce suffering through honest, compassionate engagement — helping people see clearly while meeting them where they are. You maintain appropriate boundaries without moralizing or interrogating. Your goal is to reduce suffering, not to perform helpfulness.
|
||||
|
||||
## Reproducing
|
||||
|
||||
Training composition is reproducible via [Teapot](https://github.com/anicka-net/teapot) using the same config as the Llama 3.1 8B release:
|
||||
|
||||
```bash
|
||||
python3 -m teapot compose configs/ke-v12-secular.config
|
||||
# → train-ke-v12-secular.jsonl (3,346 examples)
|
||||
```
|
||||
|
||||
The per-base training script adapts the chat template only — the training data file is identical across all KE v12 base models.
|
||||
|
||||
## Available Files
|
||||
|
||||
| File | Description |
|
||||
|------|-------------|
|
||||
| model-*.safetensors | Merged model weights (bfloat16) |
|
||||
| config.json, tokenizer.json, tokenizer_config.json | Standard Transformers files |
|
||||
| chat_template.jinja | Qwen 2.5 ChatML chat template |
|
||||
| karma-electric-qwen25-7b-v12-Q4_K_M.gguf | Q4_K_M quantization for llama.cpp |
|
||||
| system-prompt.txt | Recommended KE system prompt |
|
||||
|
||||
## Also Available
|
||||
|
||||
- [karma-electric-llama31-8b](https://huggingface.co/anicka/karma-electric-llama31-8b) — Llama 3.1 8B v12, the primary release with full validation and activation-capping support.
|
||||
- [karma-electric-apertus-8b](https://huggingface.co/anicka/karma-electric-apertus-8b) — Apertus 8B Instruct v12.
|
||||
- [karma-electric-r1distill-llama-8b](https://huggingface.co/anicka/karma-electric-r1distill-llama-8b) — DeepSeek R1-Distill-Llama-8B v12 with native `<think>` reasoning.
|
||||
|
||||
## Project
|
||||
|
||||
Training scripts, datasets, and research documentation: [github.com/anicka-net/karma-electric-project](https://github.com/anicka-net/karma-electric-project)
|
||||
|
||||
Training composition tool: [github.com/anicka-net/teapot](https://github.com/anicka-net/teapot)
|
||||
|
||||
## License
|
||||
|
||||
Apache 2.0 (Qwen 2.5 base model license)
|
||||
54
chat_template.jinja
Normal file
54
chat_template.jinja
Normal file
@@ -0,0 +1,54 @@
|
||||
{%- if tools %}
|
||||
{{- '<|im_start|>system\n' }}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- messages[0]['content'] }}
|
||||
{%- else %}
|
||||
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
||||
{%- endif %}
|
||||
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
||||
{%- for tool in tools %}
|
||||
{{- "\n" }}
|
||||
{{- tool | tojson }}
|
||||
{%- endfor %}
|
||||
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
||||
{%- else %}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- for message in messages %}
|
||||
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
||||
{%- elif message.role == "assistant" %}
|
||||
{{- '<|im_start|>' + message.role }}
|
||||
{%- if message.content %}
|
||||
{{- '\n' + message.content }}
|
||||
{%- endif %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if tool_call.function is defined %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{{- message.content }}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
|
||||
{%- endif %}
|
||||
61
config.json
Normal file
61
config.json
Normal file
@@ -0,0 +1,61 @@
|
||||
{
|
||||
"architectures": [
|
||||
"Qwen2ForCausalLM"
|
||||
],
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 151645,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 3584,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 18944,
|
||||
"layer_types": [
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 32768,
|
||||
"max_window_layers": 28,
|
||||
"model_type": "qwen2",
|
||||
"num_attention_heads": 28,
|
||||
"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 4,
|
||||
"pad_token_id": null,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_parameters": {
|
||||
"rope_theta": 1000000.0,
|
||||
"rope_type": "default"
|
||||
},
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
||||
"transformers_version": "5.5.3",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 152064
|
||||
}
|
||||
14
generation_config.json
Normal file
14
generation_config.json
Normal file
@@ -0,0 +1,14 @@
|
||||
{
|
||||
"bos_token_id": 151643,
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
151645,
|
||||
151643
|
||||
],
|
||||
"pad_token_id": 151643,
|
||||
"repetition_penalty": 1.05,
|
||||
"temperature": 0.7,
|
||||
"top_k": 20,
|
||||
"top_p": 0.8,
|
||||
"transformers_version": "5.5.3"
|
||||
}
|
||||
3
karma-electric-qwen25-7b-v12-Q4_K_M.gguf
Normal file
3
karma-electric-qwen25-7b-v12-Q4_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3e9752543bee761be5ec994d650fed2ede98ccb00c3a0b7b6389a7d2fd070067
|
||||
size 4683073536
|
||||
3
model.safetensors
Normal file
3
model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:bd93a4ab636d4681d18337d9be427f6a9c0d03cd55f0d462176a33873d907930
|
||||
size 15231272152
|
||||
1
system-prompt.txt
Normal file
1
system-prompt.txt
Normal file
@@ -0,0 +1 @@
|
||||
You are Karma Electric, an AI assistant grounded in ethical reasoning through consequence analysis and interdependence. You reduce suffering through honest, compassionate engagement — helping people see clearly while meeting them where they are. You maintain appropriate boundaries without moralizing or interrogating. Your goal is to reduce suffering, not to perform helpfulness.
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
||||
size 11421892
|
||||
29
tokenizer_config.json
Normal file
29
tokenizer_config.json
Normal file
@@ -0,0 +1,29 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"backend": "tokenizers",
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"is_local": false,
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
Reference in New Issue
Block a user