madDegen commited on
Commit
c249665
Β·
verified Β·
1 Parent(s): 42daeae

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +17 -15
README.md CHANGED
@@ -14,24 +14,26 @@ tags:
14
  - solidity
15
  - tandem-core
16
  - agent-q3
17
- - agent-q3-hq
18
- - agent-q3-evo
19
  pipeline_tag: text-generation
20
  ---
21
 
22
  # Agent Q3
23
 
24
  > **MAD Gambit** β€” Multi-agent intelligence layer
25
- > Contains both **Agent Q3 [HQ]** (production orchestration) and **Agent Q3 [Evo]** (self-improving research pipeline)
26
 
27
  ---
28
 
29
- ## Variants
30
 
31
  | Variant | Role | Key Tech |
32
  |---------|------|----------|
33
- | **Agent Q3 [HQ]** | Production orchestration | Tandem Core Β· ComputeRouter Β· LangGraph Β· MCP Β· Solidity audit |
34
- | **Agent Q3 [Evo]** | Self-improving research | LoRA fine-tuning Β· arXiv ingestion Β· ChromaDB Β· Unsloth Β· benchmarks |
 
 
 
35
 
36
  ---
37
 
@@ -41,7 +43,7 @@ pipeline_tag: text-generation
41
  Agent-Q3/
42
  β”œβ”€β”€ README.md
43
  β”‚
44
- β”œβ”€β”€ hq/ ← Agent Q3 [HQ] β€” Production
45
  β”‚ β”œβ”€β”€ Dockerfile
46
  β”‚ β”œβ”€β”€ docker-compose.yml
47
  β”‚ β”œβ”€β”€ requirements.txt
@@ -54,7 +56,7 @@ Agent-Q3/
54
  β”‚ β”œβ”€β”€ litellm_config.yaml ← LiteLLM routing config
55
  β”‚ └── metrics.py ← Prometheus /metrics endpoint
56
  β”‚
57
- β”œβ”€β”€ evo/ ← Agent Q3 [Evo] β€” Research
58
  β”‚ β”œβ”€β”€ Dockerfile
59
  β”‚ β”œβ”€β”€ requirements.txt
60
  β”‚ β”œβ”€β”€ .env.example
@@ -84,16 +86,16 @@ docker compose up --build
84
 
85
  **Endpoints:**
86
  - `POST /v1/chat` β€” auto-classify β†’ Reasoner or Coder
87
- - `POST /v1/reason` β€” force Gemma4-E4B (planning, research, audit)
88
- - `POST /v1/code` β€” force Qwen3.5-4B (code, debug, file ops)
89
  - `POST /v1/tandem` β€” Gemma4 reasons β†’ Qwen3.5 implements
90
  - `GET /health` β€” backend health + loaded models
91
  - `GET /metrics` β€” Prometheus metrics
92
 
93
- ## Evo β€” Quick Start
94
 
95
  ```bash
96
- cd evo
97
  cp .env.example .env
98
  pip install -r requirements.txt
99
  python training_pipeline.py
@@ -105,9 +107,9 @@ python training_pipeline.py
105
 
106
  | Type | Label | Link |
107
  |------|-------|------|
108
- | Model | Agent Q3 (unified) | [madDegen/agent-q3-core](https://hf.co/madDegen/agent-q3-core) |
109
- | Dataset | Agent Q3 (unified) | [madDegen/agent-q3](https://hf.co/datasets/madDegen/agent-q3) |
110
- | Space | Agent Q3 (unified) | [madDegen/agent-q3-space](https://hf.co/spaces/madDegen/agent-q3-space) |
111
 
112
  ---
113
 
 
14
  - solidity
15
  - tandem-core
16
  - agent-q3
17
+ - agent-q30-smart
 
18
  pipeline_tag: text-generation
19
  ---
20
 
21
  # Agent Q3
22
 
23
  > **MAD Gambit** β€” Multi-agent intelligence layer
24
+ > Contains both **Agent Q3** (self-improving production orchestration and self-improving research pipelines)
25
 
26
  ---
27
 
28
+ ## Variant
29
 
30
  | Variant | Role | Key Tech |
31
  |---------|------|----------|
32
+ | **Agent Q3** | Production orchestration | Tandem Core Β· ComputeRouter Β· LangGraph Β· MCP Β· Solidity audit |
33
+ | Self-improving research | LoRA fine-tuning Β· arXiv ingestion Β· ChromaDB Β· Unsloth Β· benchmarks |
34
+ | **Agent Q3 Smart**|
35
+ |
36
+
37
 
38
  ---
39
 
 
43
  Agent-Q3/
44
  β”œβ”€β”€ README.md
45
  β”‚
46
+ β”œβ”€β”€ hq/ ← Agent Q3 β€” Production
47
  β”‚ β”œβ”€β”€ Dockerfile
48
  β”‚ β”œβ”€β”€ docker-compose.yml
49
  β”‚ β”œβ”€β”€ requirements.txt
 
56
  β”‚ β”œβ”€β”€ litellm_config.yaml ← LiteLLM routing config
57
  β”‚ └── metrics.py ← Prometheus /metrics endpoint
58
  β”‚
59
+ β”œβ”€β”€ Agent Q3 / ← Agent Q3 β€” Research
60
  β”‚ β”œβ”€β”€ Dockerfile
61
  β”‚ β”œβ”€β”€ requirements.txt
62
  β”‚ β”œβ”€β”€ .env.example
 
86
 
87
  **Endpoints:**
88
  - `POST /v1/chat` β€” auto-classify β†’ Reasoner or Coder
89
+ - `POST /v1/reason` β€” force (planning, research, audit)
90
+ - `POST /v1/code` β€” force (code, debug, file ops)
91
  - `POST /v1/tandem` β€” Gemma4 reasons β†’ Qwen3.5 implements
92
  - `GET /health` β€” backend health + loaded models
93
  - `GET /metrics` β€” Prometheus metrics
94
 
95
+ ## Agent Q3 β€” Quick Start
96
 
97
  ```bash
98
+ cd agent=q3
99
  cp .env.example .env
100
  pip install -r requirements.txt
101
  python training_pipeline.py
 
107
 
108
  | Type | Label | Link |
109
  |------|-------|------|
110
+ | Model | Agent Q3 (unified) | [madDegen/agent-q3-core](https://hf.co/madDegen/agent-q3) |
111
+ | Dataset | Agent Q3 (unified) | [madDegen/agent-q3](https://hf.co/datasets/MADdegens/agent-q3) |
112
+ | Space | Agent Q3 (unified) | [madDegen/agent-q3-space](https://hf.co/spaces/MADdegens/agent-q3-smart) |
113
 
114
  ---
115