Instructions to use continuum-ai/qwen2.5-coder-7b-compacted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use continuum-ai/qwen2.5-coder-7b-compacted with MLX:

# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm

# Generate text with mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("continuum-ai/qwen2.5-coder-7b-compacted")

prompt = "Write a story about Einstein"
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
    messages, add_generation_prompt=True
)

text = generate(model, tokenizer, prompt=prompt, verbose=True)

Inference
Notebooks
Google Colab
Kaggle
Local Apps
LM Studio

Pi new

How to use continuum-ai/qwen2.5-coder-7b-compacted with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "continuum-ai/qwen2.5-coder-7b-compacted"

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "continuum-ai/qwen2.5-coder-7b-compacted"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use continuum-ai/qwen2.5-coder-7b-compacted with Hermes Agent:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "continuum-ai/qwen2.5-coder-7b-compacted"

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default continuum-ai/qwen2.5-coder-7b-compacted

Run Hermes

hermes

MLX LM

How to use continuum-ai/qwen2.5-coder-7b-compacted with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "continuum-ai/qwen2.5-coder-7b-compacted"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "continuum-ai/qwen2.5-coder-7b-compacted"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "continuum-ai/qwen2.5-coder-7b-compacted",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

EnricoFermi commited on Apr 8

Commit

0abc8fe

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1 Parent(s): decd729

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@@ -51,13 +51,13 @@ license: apache-2.0
 <p align="center">
-<a href="https://cambriantech.github.io/forge-alloy/verify/#c7be31309161f9ca">
 <img src="alloy-qr.png" alt="Verify Chain of Custody" width="160"/>
 </a>
 </p>
 <p align="center">
-<a href="https://cambriantech.github.io/forge-alloy/verify/#c7be31309161f9ca"><b>Every claim on this card is verified</b></a><br>
 <b>Trust: self-attested</b> · 2 benchmarks · 1 device tested<br>
 <a href="https://github.com/CambrianTech/forge-alloy">ForgeAlloy</a> chain of custody · <a href="v2-7b-coder-compensated.alloy.json">Download alloy</a> · Merkle-chained
 </p>
@@ -104,7 +104,7 @@ MSE-on-hidden-states has a degenerate fixed point: the student can satisfy the l
 | | Base | Forged | Delta |
 |---|---|---|---|
 | **Pruning** | None | 12% heads (activation-magnitude) | **-12%** params ✅ |
-| **LoRA** | None | rank=? |  |
 | **Pipeline** | | prune → lora → lora → eval | 1 cycles |
 ## Runs On
@@ -158,12 +158,12 @@ prune → lora → lora → eval (1 cycles)
 ## Chain of Custody
-Scan the QR or [verify online](https://cambriantech.github.io/forge-alloy/verify/#c7be31309161f9ca). Download the [alloy file](v2-7b-coder-compensated.alloy.json) to verify independently.
 | What | Proof |
 |------|-------|
 | Forged on | NVIDIA GeForce RTX 5090, ? |
-| Published | [huggingface](https://huggingface.co/continuum-ai/v2-7b-coder-compensated) — 2026-04-08T05:01:40.446154+00:00 |
 | Trust level | [`self-attested`](https://github.com/CambrianTech/forge-alloy/blob/main/docs/ATTESTATION.md) |
 | Spec | [ForgeAlloy](https://github.com/CambrianTech/forge-alloy) — Rust/Python/TypeScript |

 <p align="center">
+<a href="https://cambriantech.github.io/forge-alloy/verify/#c92083286a04544b">
 <img src="alloy-qr.png" alt="Verify Chain of Custody" width="160"/>
 </a>
 </p>
 <p align="center">
+<a href="https://cambriantech.github.io/forge-alloy/verify/#c92083286a04544b"><b>Every claim on this card is verified</b></a><br>
 <b>Trust: self-attested</b> · 2 benchmarks · 1 device tested<br>
 <a href="https://github.com/CambrianTech/forge-alloy">ForgeAlloy</a> chain of custody · <a href="v2-7b-coder-compensated.alloy.json">Download alloy</a> · Merkle-chained
 </p>
 | | Base | Forged | Delta |
 |---|---|---|---|
 | **Pruning** | None | 12% heads (activation-magnitude) | **-12%** params ✅ |
+| **compensation-lora** | None | rank=16 | q_proj, k_proj, v_proj, o_proj... |
 | **Pipeline** | | prune → lora → lora → eval | 1 cycles |
 ## Runs On
 ## Chain of Custody
+Scan the QR or [verify online](https://cambriantech.github.io/forge-alloy/verify/#c92083286a04544b). Download the [alloy file](v2-7b-coder-compensated.alloy.json) to verify independently.
 | What | Proof |
 |------|-------|
 | Forged on | NVIDIA GeForce RTX 5090, ? |
+| Published | [huggingface](https://huggingface.co/continuum-ai/v2-7b-coder-compensated) — 2026-04-08T05:02:57.072577+00:00 |
 | Trust level | [`self-attested`](https://github.com/CambrianTech/forge-alloy/blob/main/docs/ATTESTATION.md) |
 | Spec | [ForgeAlloy](https://github.com/CambrianTech/forge-alloy) — Rust/Python/TypeScript |